PASS 软件为超过 1100 种统计测试和置信区间场景提供样本量工具 是任何其他样本量软件功能的两倍多。每个工具都经过已发表的文章和/或文本的仔细验证。
PASS配有集成文档和 博士统计学家支持。
PASS已经过20多年的微调，现已成为临床试验，制药和其他医学研究的领先样本量软件选择。它成为所有需要进行样本量计算或评估的领域的支柱。
在 PASS 中，您可以通过几个简短的步骤来估计统计检验或置信区间的样本量。
使用下拉菜单、过程搜索或类别树可以轻松找到样本量过程。
样本大小程序工具易于使用，并且每个选项都有内置的帮助消息。
运行 PASS 过程时，样本量结果和相应的图显示在输出窗口中。可以单击样本大小或功率曲线以在单独的窗口中显示以供查看或保存。
使用输出导航树可以轻松导航输出。输出格式使其易于查看、复制和粘贴或保存。可以将多个输出运行发送到输出库以进行保存或比较样本量分析。
包含可通过 PASS 计算样本大小和功效的测试和置信区间的列表。有有关一个或两个均值、多个均值、 相关性、正态性检验、方差、一个比例、两个比例、卡方和其他比例检验、生存或PASS 回归等等。
PASS 包含 50 多个Assurance程序，包括用于比较均值、比例、生存率、负二项式比率和泊松率的Assurance程序。每个程序都易于使用并经过验证以确保准确性。PASS 中的Assurance程序列表如下
Assurance for TwoSample TTests Assuming Equal Variance
Assurance for TwoSample ZTests Assuming Equal Variance
Assurance for TwoSample TTests Allowing Unequal Variance
Assurance for TwoSample TTests for NonInferiority Assuming Equal Variance
Assurance for TwoSample TTests for Superiority by a Margin Assuming Equal Variance
Assurance for TwoSample TTests for Equivalence Assuming Equal Variance
Assurance for TwoSample TTests for NonInferiority Allowing Unequal Variance
Assurance for TwoSample TTests for Superiority by a Margin Allowing Unequal Variance
Assurance for TwoSample TTests for Equivalence Allowing Unequal Variance

Assurance for Tests for Two Proportions
Assurance for NonZero Null Tests for the Difference Between Two Proportions
Assurance for NonInferiority Tests for the Difference Between Two Proportions
Assurance for Superiority by a Margin Tests for the Difference Between Two Proportions
Assurance for Equivalence Tests for the Difference Between Two Proportions
Assurance for NonUnity Null Tests for the Ratio of Two Proportions
Assurance for NonUnity Null Tests for the Odds Ratio of Two Proportions
Assurance for Superiority by a Margin Tests for the Ratio of Two Proportions
Assurance for NonInferiority Tests for the Ratio of Two Proportions
Assurance for Superiority by a Margin Tests for the Odds Ratio of Two Proportions
Assurance for NonInferiority Tests for the Odds Ratio of Two Proportions
Assurance for Equivalence Tests for the Ratio of Two Proportions
Assurance for Equivalence Tests for the Odds Ratio of Two Proportions

Assurance for Logrank Tests (Freedman)
Assurance for Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for NonInferiority Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for Superiority by a Margin Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for Equivalence Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Assurance for NonInferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Assurance for Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Assurance for Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model

Assurance for Tests for the Ratio of Two Negative Binomial Rates
Assurance for NonInferiority Tests for the Ratio of Two Negative Binomial Rates
Assurance for Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Assurance for Equivalence Tests for the Ratio of Two Negative Binomial Rates

Assurance for Tests for Two Means in a ClusterRandomized Design
Assurance for NonInferiority Tests for Two Means in a ClusterRandomized Design
Assurance for Superiority by a Margin Tests for Two Means in a ClusterRandomized Design
Assurance for Equivalence Tests for Two Means in a ClusterRandomized Design
Assurance for Tests for Two Proportions in a ClusterRandomized Design
Assurance for NonZero Null Tests for the Difference of Two Proportions in a ClusterRandomized Design
Assurance for NonInferiority Tests for the Difference of Two Proportions in a ClusterRandomized Design
Assurance for Superiority by a Margin Tests for the Difference of Two Proportions in a ClusterRandomized Design
Assurance for Equivalence Tests for the Difference of Two Proportions in a ClusterRandomized Design
Assurance for Logrank Tests in a ClusterRandomized Design

Assurance for Tests for the Difference Between Two Poisson Rates
Assurance for Tests for the Ratio of Two Poisson Rates
Assurance for NonInferiority Tests for the Ratio of Two Poisson Rates
Assurance for Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Assurance for Equivalence Tests for the Ratio of Two Poisson Rates

Assurance for NonInferiority Tests for Vaccine Efficacy using the Ratio of Two Proportions
Assurance for Superiority by a Margin Tests for Vaccine Efficacy using the Ratio of Two Proportions
BlandAltman Method for Assessing Agreement in Method Comparison Studies
Bridging Study using the Equivalence Test of Two Groups (Continuous Outcome)
Bridging Study using a NonInferiority Test of Two Groups (Continuous Outcome)
Bridging Study using the Equivalence Test of Two Groups (Binary Outcome)
Bridging Study using a NonInferiority Test of Two Groups (Binary Outcome)
Bridging Study Sensitivity Index
Bridging Study Test of Sensitivity using a TwoGroup TTest (Continuous Outcome)
Tests for Two Means from a ClusterRandomized Design
Tests for Two Means in a SteppedWedge ClusterRandomized Design  Complete Design
Tests for Two Means in a SteppedWedge ClusterRandomized Design  Incomplete Design (Custom)
Tests for the MatchedPair Difference of Two Means in a ClusterRandomized Design
NonInferiority Tests for Two Means in a ClusterRandomized Design
Equivalence Tests for Two Means in a ClusterRandomized Design
Superiority by a Margin Tests for Two Means in a ClusterRandomized Design
Tests for the Difference Between Two Poisson Rates in a ClusterRandomized Design
Tests for Two Poisson Rates in a SteppedWedge ClusterRandomized Design  Complete Design
Tests for Two Poisson Rates in a SteppedWedge ClusterRandomized Design  Incomplete Design (Custom)
Tests for the MatchedPair Difference of Two Event Rates in a ClusterRandomized Design
Tests for Two Proportions in a ClusterRandomized Design – Z Test (Pooled)
Tests for Two Proportions in a ClusterRandomized Design – Z Test (Unpooled)
Tests for Two Proportions in a ClusterRandomized Design – Likelihood Score Test
Tests for Two Proportions in a ClusterRandomized Design using Proportions
Tests for Two Proportions in a ClusterRandomized Design using Differences
Tests for Two Proportions in a ClusterRandomized Design using Ratios
Tests for Two Proportions in a SteppedWedge ClusterRandomized Design  Complete Design
Tests for Two Proportions in a SteppedWedge ClusterRandomized Design  Incomplete Design (Custom)
Tests for the MatchedPair Difference of Two Proportions in a ClusterRandomized Design
Equivalence Tests of Two Proportions in a ClusterRandomized Design – Z Test (Pooled)
Equivalence Tests of Two Proportions in a ClusterRandomized Design – Z Test (Unpooled)
Equivalence Tests of Two Proportions in a ClusterRandomized Design – Likelihood Score Test
Equivalence Tests of Two Proportions in a ClusterRandomized Design using Proportions
Equivalence Tests of Two Proportions in a ClusterRandomized Design using Differences
Equivalence Tests of Two Proportions in a ClusterRandomized Design using Ratios
NonInferiority Tests of Two Proportions in a ClusterRandomized Design – Z Test (Pooled)
NonInferiority Tests of Two Proportions in a ClusterRandomized Design – Z Test (Unpooled)
NonInferiority Tests of Two Proportions in a ClusterRandomized Design – Likelihood Score Test
NonInferiority Tests of Two Proportions in a ClusterRandomized Design using Proportions
NonInferiority Tests of Two Proportions in a ClusterRandomized Design using Differences
NonInferiority Tests of Two Proportions in a ClusterRandomized Design using Ratios
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Unpooled)
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design using Proportions
Superiority by a Margin Tests for the Difference of Two Proportions in a ClusterRandomized Design
Superiority by a Margin Tests for the Ratio of Two Proportions in a ClusterRandomized Design
GEE Tests for Two Means in a Stratified ClusterRandomized Design
GEE Tests for Two Means in a ClusterRandomized Design
GEE Tests for Multiple Means in a ClusterRandomized Design
GEE Tests for Multiple Proportions in a ClusterRandomized Design
GEE Tests for Multiple Poisson Rates in a ClusterRandomized Design
Tests for Two Proportions in a Stratified ClusterRandomized Design (CochranMantelHaenszel Test)
Tests for the Difference Between Two Poisson Rates in a ClusterRandomized Design with Adjustment for Varying Cluster Sizes
Mixed Models Tests for Two Means in a ClusterRandomized Design
MultiArm Tests for Treatment and Control Proportions in a ClusterRandomized Design
MultiArm, NonInferiority Tests for Treatment and Control Proportions in a ClusterRandomized Design
MultiArm Tests for Treatment and Control Means in a ClusterRandomized Design
MultiArm, NonInferiority Tests for Treatment and Control Means in a ClusterRandomized Design
Conditional Power of OneSample TTests
Conditional Power of TwoSample TTests
Conditional Power of TwoSample TTests – Unequal n’s
Conditional Power of Paired TTests
Conditional Power of 2x2 CrossOver Designs
Conditional Power of Logrank Tests
Conditional Power of OneProportion Tests
Conditional Power of TwoProportions Tests
Conditional Power of TwoProportions Tests – Unequal n’s
Conditional Power of TwoSample TTests for NonInferiority
Conditional Power of TwoSample TTests for Superiority by a Margin
Conditional Power of NonInferiority Tests for the Difference Between Two Proportions
Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
Conditional Power of NonInferiority Logrank Tests
Conditional Power of Superiority by a Margin Logrank Tests
Conditional Power of NonInferiority Tests for Two Means in a 2x2 CrossOver Design
Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design
Conditional Power of OneSample TTests for NonInferiority
Conditional Power of OneSample TTests for Superiority by a Margin
Conditional Power of Paired TTests for NonInferiority
Conditional Power of Paired TTests for Superiority by a Margin
Conditional Power of NonInferiority Tests for One Proportion
Conditional Power of Superiority by a Margin Tests for One Proportion
Confidence Intervals for Pearson’s Correlation
Confidence Intervals for Spearman’s Rank Correlation
Confidence Intervals for Kendall’s Taub Correlation
Confidence Intervals for Point Biserial Correlation
Confidence Intervals for Intraclass Correlation
Confidence Intervals for Coefficient Alpha
Confidence Intervals for Kappa
Confidence Intervals for One Mean with Known Standard Deviation
Confidence Intervals for One Mean with Sample Standard Deviation
Confidence Intervals for One Mean with Tolerance Probability with Known Standard Deviation
Confidence Intervals for One Mean with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for One Mean in a Stratified Design
Confidence Intervals for One Mean in a ClusterRandomized Design
Confidence Intervals for One Mean in a Stratified ClusterRandomized Design
Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations
Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for Paired Means with Known Standard Deviation
Confidence Intervals for Paired Means with Sample Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for OneWay Repeated Measures Contrasts
Confidence Intervals for One Proportion – Exact (ClopperPearson)
Confidence Intervals for One Proportion – Score (Wilson)
Confidence Intervals for One Proportion – Score (Continuity Correction)
Confidence Intervals for One Proportion – Simple Asymptotic
Confidence Intervals for One Proportion – Simple Asymptotic (Continuity Correction)
Confidence Intervals for One Proportion from a Finite Population
Confidence Intervals for One Proportion in a Stratified Design
Confidence Intervals for One Proportion in a ClusterRandomized Design
Confidence Intervals for One Proportion in a Stratified ClusterRandomized Design
Confidence Intervals for OneSample Sensitivity
Confidence Intervals for OneSample Specificity
Confidence Intervals for OneSample Sensitivity and Specificity
Confidence Intervals for Two Proportions – Score (Farrington & Manning)
Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen)*
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Wilson)
Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson)
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – ChiSquare with Continuity Correction (Yates)
Confidence Intervals for Two Proportions – ChiSquare with Continuity Correction (Yates) – Unequal n’s
Confidence Intervals for Two Proportions – ChiSquare (Pearson)
Confidence Intervals for Two Proportions – ChiSquare (Pearson) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz)
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter)
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Fleiss
Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional)
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – MantelHaenszel
Confidence Intervals for Two Proportions using Odds Ratios – MantelHaenszel – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple
Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s
Confidence Intervals for the Odds Ratio in a Logistic Regression with One Binary Covariate
Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates
Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates
Confidence Intervals for Linear Regression Slope
Confidence Intervals for MichaelisMenten Parameters
Confidence Intervals for One Standard Deviation using Standard Deviation
Confidence Intervals for One Standard Deviation using Relative Error
Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation
Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation
Confidence Intervals for One Variance using Variance
Confidence Intervals for One Variance using Relative Error
Confidence Intervals for One Variance with Tolerance Probability – Known Variance
Confidence Intervals for One Variance with Tolerance Probability – Sample Variance
Confidence Intervals for the Ratio of Two Variances using Variances
Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s
Confidence Intervals for the Ratio of Two Variances using Relative Error
Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s
Confidence Intervals for the Exponential Lifetime Mean
Confidence Intervals for the Exponential Hazard Rate
Confidence Intervals for an Exponential Lifetime Percentile
Confidence Intervals for Exponential Reliability
Confidence Intervals for a Percentile of a Normal Distribution
Confidence Intervals for the Area Under an ROC Curve
Confidence Intervals for the Area Under an ROC Curve – Unequal n’s
Tests for Two Correlations
Tests for Two Correlations – Unequal n’s
Pearson’s Correlation Tests
Pearson’s Correlation Tests with Simulation
Spearman’s Rank Correlation Tests with Simulation
Kendall’s Taub Correlation Tests with Simulation
Point Biserial Correlation Tests
Power Comparison of Correlation Tests with Simulation
Confidence Intervals for Spearman’s Rank Correlation
Confidence Intervals for Kendall’s Taub Correlation
Confidence Intervals for Point Biserial Correlation
Tests for One Coefficient (or Cronbach's) Alpha
Tests for Two Coefficient (or Cronbach's) Alphas
Tests for Two Coefficient (or Cronbach's) Alphas – Unequal n’s
Confidence Intervals for Coefficient (or Cronbach's) Alpha
Tests for Intraclass Correlation
Confidence Intervals for Intraclass Correlation
Kappa Test for Agreement Between Two Raters
Confidence Intervals for Kappa
Lin's Concordance Correlation Coefficient
Tests for Two Means in a 2x2 CrossOver Design using Differences
Tests for Two Means in a 2x2 CrossOver Design using Ratios
Tests for the Difference of Two Means in a HigherOrder CrossOver Design
Tests for the Ratio of Two Means in a HigherOrder CrossOver Design
M x M CrossOver Designs
MPeriod CrossOver Designs using Contrasts
NonInferiority Tests for Two Means in a 2x2 CrossOver Design using Differences
NonInferiority Tests for Two Means in a 2x2 CrossOver Design using Ratios
NonInferiority Tests for Two Means in a HigherOrder CrossOver Design using Differences
NonInferiority Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Equivalence Tests for Two Means in a 2x2 CrossOver Design using Differences
Equivalence Tests for Two Means in a 2x2 CrossOver Design using Ratios
Equivalence Tests for Two Means in a HigherOrder CrossOver Design using Differences
Equivalence Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design using Differences
Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design using Ratios
Superiority by a Margin Tests for Two Means in a HigherOrder CrossOver Design using Differences
Superiority by a Margin Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Conditional Power of 2x2 CrossOver Designs
Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
NonInferiority Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
NonInferiority Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Equivalence Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
NonInferiority Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 CrossOver Design
NonInferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 CrossOver Design
Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 CrossOver Design
Tests for Pairwise Proportion Differences in a Williams CrossOver Design
NonInferiority Tests for Pairwise Proportion Differences in a Williams CrossOver Design
Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams CrossOver Design
Equivalence Tests for Pairwise Proportion Differences in a Williams CrossOver Design
Tests for Pairwise Mean Differences in a Williams CrossOver Design
NonInferiority Tests for Pairwise Mean Differences in a Williams CrossOver Design
Superiority by a Margin Tests for Pairwise Mean Differences in a Williams CrossOver Design
Equivalence Tests for Pairwise Mean Differences in a Williams CrossOver Design
Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
Tests for Two Total Variances in a 2×2 CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2 CrossOver Design
NonInferiority Tests for Two Total Variances in a 2×2 CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a 2×2 CrossOver Design
Bioequivalence Tests for AUC and Cmax in a 2x2 CrossOver Design (LogNormal Data)
Equivalence Tests for Paired Means (Simulation) – TTest
Equivalence Tests for Paired Means (Simulation) – Wilcoxon Test
Equivalence Tests for Paired Means (Simulation) – Sign Test
Equivalence Tests for Paired Means (Simulation) – Bootstrap
Equivalence Tests for Two Means using Differences
Equivalence Tests for Two Means using Differences – Unequal n’s
Equivalence Tests for Two Means using Ratios
Equivalence Tests for the Ratio of Two Poisson Rates
Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
Equivalence Tests for the Ratio of Two Negative Binomial Rates
Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Equivalence Tests for the Difference Between Two Paired Means
Equivalence Tests for Two Means using Ratios – Unequal n’s
Equivalence Tests for Two Means (Simulation) – TTest
Equivalence Tests for Two Means (Simulation) – TTest – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Welch Test
Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim TTest
Equivalence Tests for Two Means (Simulation) – Trim TTest – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim Welch Test
Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – MannWhitney Test
Equivalence Tests for Two Means (Simulation) – MannWhitney Test – Unequal n’s
Equivalence Tests for Two Means in a 2x2 CrossOver Design
Equivalence Tests for Two Means in a 2x2 CrossOver Design using Ratios
Equivalence Tests for Two Means in a HigherOrder CrossOver Design
Equivalence Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Equivalence Tests for Two Means in a ClusterRandomized Design
Equivalence Tests for One Proportion – Exact Test
Equivalence Tests for One Proportion – Z Test using S(P0)
Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction
Equivalence Tests for One Proportion – Z Test using S(Phat)
Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Pooled)
Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled)
Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam)
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Equivalence Tests for Two Correlated Proportions
Equivalence Tests for Two Correlated Proportions using Ratios
Equivalence Tests for Two Proportions in a ClusterRandomized Design
Equivalence Tests for Two Proportions in a ClusterRandomized Design – Unequal n’s
Equivalence Tests for Two Proportions in a ClusterRandomized Design using Ratios
Equivalence Tests for Two Proportions in a ClusterRandomized Design using Ratios – Unequal n’s
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Equivalence Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 CrossOver Design
Equivalence Tests for Pairwise Proportion Differences in a Williams CrossOver Design
Equivalence Tests for Pairwise Mean Differences in a Williams CrossOver Design
Equivalence Tests for Simple Linear Regression
Equivalence Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
Equivalence Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
Equivalence Tests for the Difference of Two WithinSubject CV's in a Parallel Design
Equivalence Tests for the Ratio of Two Variances
OneSample ZTests for Equivalence
Paired ZTests for Equivalence
TwoSample TTests for Equivalence Allowing Unequal Variance
Bioequivalence Tests for AUC and Cmax in a 2x2 CrossOver Design (LogNormal Data)
MultiArm, Equivalence Tests of the Difference Between Treatment and Control Proportions
MultiArm, Equivalence Tests of the Ratio of Treatment and Control Proportions
MultiArm, Equivalence Tests of the Odds Ratio of Treatment and Control Proportions
MultiArm, Equivalence Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
MultiArm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
MultiArm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming LogNormal Data
MultiArm, Equivalence Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
MultiArm, Equivalence Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Confidence Intervals for the Exponential Lifetime Mean
Confidence Intervals for an Exponential Lifetime Percentile
Confidence Intervals for Exponential Reliability
Confidence Intervals for the Exponential Hazard Rate
GroupSequential Tests for One Mean with Known Variance (Simulation)
GroupSequential TTests for One Mean (Simulation)
GroupSequential Tests for Two Means with Known Variances (Simulation)
GroupSequential TTests for Two Means (Simulation)
GroupSequential Tests for Two Proportions (Simulation)
GroupSequential Tests for Two Means
GroupSequential Tests for Two Means – Unequal n’s
GroupSequential Tests for Two Means (Simulation) Assuming Normality
GroupSequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s
GroupSequential Tests for Two Means (Simulation) General Assumptions
GroupSequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s
GroupSequential Tests for Two Means (Simulation) General Assumptions – MannWhitney Test
GroupSequential Tests for Two Means (Simulation) General Assumptions – MannWhitney Test – Unequal n’s
GroupSequential NonInferiority Tests for Two Means
GroupSequential NonInferiority Tests for Two Means – Unequal n’s
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test – Unequal n’s
GroupSequential NonInferiority Tests for Two Means with Known Variances (Simulation)
GroupSequential NonInferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
GroupSequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
GroupSequential NonInferiority TTests for Two Means (Simulation)
GroupSequential NonInferiority TTests for Two Means (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin TTests for Two Means (Simulation)
GroupSequential Superiority by a Margin TTests for Two Means (Simulation) – Unequal n’s
GroupSequential Tests for One Proportion in a Fleming Design
GroupSequential Tests for Two Proportions
GroupSequential Tests for Two Proportions – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled)
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled) – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled)
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled) – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – MantelHaenszel
GroupSequential Tests for Two Proportions (Simulation) – MantelHaenszel – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – Fisher’s Exact
GroupSequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s
GroupSequential Tests for Two Proportions using Differences (Simulation)
GroupSequential Tests for Two Proportions using Ratios (Simulation)
GroupSequential Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions using Differences (Simulation)
GroupSequential NonInferiority Tests for Two Proportions using Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Proportions (Simulation)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
GroupSequential Logrank Tests of Two Survival Curves assuming Exponential Survival
GroupSequential Logrank Tests of Two Survival Curves assuming Proportional Hazards
GroupSequential Logrank Tests (Simulation)
GroupSequential Logrank Tests (Simulation) – Unequal n’s
GroupSequential Logrank Tests (Simulation) – GehanWilcoxon
GroupSequential Logrank Tests (Simulation) – GehanWilcoxon – Unequal n’s
GroupSequential Logrank Tests (Simulation) – TaroneWare
GroupSequential Logrank Tests (Simulation) – TaroneWare – Unequal n’s
GroupSequential Logrank Tests (Simulation) – PetoPeto
GroupSequential Logrank Tests (Simulation) – PetoPeto – Unequal n’s
GroupSequential Logrank Tests (Simulation) – Modified PetoPeto
GroupSequential Logrank Tests (Simulation) – Modified PetoPeto – Unequal n’s
GroupSequential Logrank Tests (Simulation) – FlemingHarrington Custom Parameters
GroupSequential Logrank Tests (Simulation) – FlemingHarrington Custom Parameters – Unequal n’s
GroupSequential Logrank Tests using Hazard Rates (Simulation)
GroupSequential Logrank Tests using Median Survival Times (Simulation)
GroupSequential Logrank Tests using Proportion Surviving (Simulation)
GroupSequential Logrank Tests using Mortality (Simulation)
GroupSequential Tests for Two Hazard Rates (Simulation)
GroupSequential Tests for Two Hazard Rates (Simulation) – Unequal n’s
GroupSequential NonInferiority Tests for Two Hazard Rates (Simulation)
GroupSequential NonInferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
GroupSequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
GroupSequential Tests for One Hazard Rate (Simulation)
GroupSequential NonInferiority Tests for One Hazard Rate (Simulation)
GroupSequential Superiority by a Margin Tests for One Hazard Rate (Simulation)
GroupSequential Tests for Two Poisson Rates (Simulation)
GroupSequential NonInferiority Tests for Two Poisson Rates (Simulation)
GroupSequential Superiority by a Margin Tests for Two Poisson Rates (Simulation)
GroupSequential Tests for One Poisson Rate (Simulation)
GroupSequential NonInferiority Tests for One Poisson Rate (Simulation)
GroupSequential Superiority by a Margin Tests for One Poisson Rate (Simulation)
Tests for One Mean – TTest
Tests for One Mean – ZTest
Tests for One Mean – Wilcoxon Nonparametric Adjustment
Tests for One Mean – (Simulation) – TTest
Tests for One Mean – (Simulation) – Wilcoxon Test
Tests for One Mean – (Simulation) – Sign Test
Tests for One Mean – (Simulation) – Bootstrap Test
Tests for One Mean – (Simulation) – Exponential Mean Test
Tests for One Exponential Mean with Replacement
Tests for One Exponential Mean without Replacement
Tests for One Mean using Effect Size
Tests for One Poisson Mean
Confidence Intervals for One Mean
Confidence Intervals for One Mean – Known Standard Deviation
Confidence Intervals for One Mean with Tolerance Probability
Confidence Intervals for One Mean with Tolerance Probability – Known Standard Deviation
Confidence Intervals for One Mean in a Stratified Design
Confidence Intervals for One Mean in a ClusterRandomized Design
Confidence Intervals for One Mean in a Stratified ClusterRandomized Design
NonInferiority Tests for One Mean
Superiority by a Margin Tests for One Mean
Multiple OneSample TTests – False Discovery Rate
Multiple OneSample ZTests – False Discovery Rate
Multiple OneSample TTests – Experimentwise Error Rate
Multiple OneSample ZTests – Experimentwise Error Rate
Conditional Power of OneSample TTests
Hotelling’s OneSample T2
Conditional Power of OneSample TTests for NonInferiority
Conditional Power of OneSample TTests for Superiority by a Margin
OneSample TTests
OneSample ZTests
OneSample ZTests for NonInferiority
OneSample ZTests for Superiority by a Margin
OneSample ZTests for Equivalence
Wilcoxon SignedRank Tests
Wilcoxon SignedRank Tests for NonInferiority
Wilcoxon SignedRank Tests for Superiority by a Margin
GroupSequential Tests for One Mean with Known Variance (Simulation)
GroupSequential TTests for One Mean (Simulation)
Tests for Paired Means – TTest
Tests for Paired Means – ZTest
Tests for Paired Means (Simulation) – TTest
Tests for Paired Means (Simulation) – Wilcoxon Test
Tests for Paired Means (Simulation) – Sign Test
Tests for Paired Means (Simulation) – Bootstrap Test
Tests for Paired Means using Effect Size
Tests for the MatchedPair Difference of Two Means in a ClusterRandomized Design
Tests for the MatchedPair Difference of Two Event Rates in a ClusterRandomized Design
Confidence Intervals for Paired Means with Known Standard Deviation
Confidence Intervals for Paired Means with Sample Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation
Superiority by a Margin Tests for Paired Means
Equivalence Tests for Paired Means
NonInferiority Tests for Paired Means
Multiple Paired TTests
Conditional Power of Paired TTests
Paired TTests
Paired TTests for NonInferiority
Paired TTests for Superiority by a Margin
Paired ZTests
Paired ZTests for NonInferiority
Paired ZTests for Superiority by a Margin
Paired ZTests for Equivalence
Paired Wilcoxon SignedRank Tests
Paired Wilcoxon SignedRank Tests for NonInferiority
Paired Wilcoxon SignedRank Tests for Superiority by a Margin
Conditional Power of Paired TTests for NonInferiority
Conditional Power of Paired TTests for Superiority by a Margin
TwoSample TTests Assuming Equal Variances
TwoSample TTests Assuming Equal Variances – Unequal n’s
TwoSample TTests Allowing Unequal Variances
TwoSample TTests Allowing Unequal Variances – Unequal n’s
Tests for Two Means (Simulation) – TTest
Tests for Two Means (Simulation) – TTest – Unequal n’s
Tests for Two Means (Simulation) – Welch’s TTest
Tests for Two Means (Simulation) – Welch’s TTest – Unequal n’s
Tests for Two Means (Simulation) – Trimmed TTest
Tests for Two Means (Simulation) – Trimmed TTest – Unequal n’s
Tests for Two Means (Simulation) – Trimmed Welch’s TTest
Tests for Two Means (Simulation) – Trimmed Welch’s TTest – Unequal n’s
TwoSample TTests using Effect Size
TwoSample TTests using Effect Size – Unequal n’s
MannWhitneyWilcoxon Tests (Simulation)
MannWhitneyWilcoxon Tests (Simulation) – Unequal n’s
TwoSample ZTests Assuming Equal Variances
TwoSample ZTests Assuming Equal Variances – Unequal n’s
TwoSample ZTests Allowing Unequal Variances
TwoSample ZTests Allowing Unequal Variances – Unequal n’s
Tests for Two Means using Ratios
Tests for Two Means using Ratios – Unequal n’s
Tests for Two Exponential Means
Tests for Two Exponential Means – Unequal n’s
Tests for Two Poisson Means – MLE
Tests for Two Poisson Means – MLE – Unequal n’s
Tests for Two Poisson Means – CMLE
Tests for Two Poisson Means – CMLE – Unequal n’s
Tests for Two Poisson Means – Ln(MLE)
Tests for Two Poisson Means – Ln(MLE) – Unequal n’s
Tests for Two Poisson Means – Ln(CMLE)
Tests for Two Poisson Means – Ln(CMLE) – Unequal n’s
Tests for Two Poisson Means – Variance Stabilized
Tests for Two Poisson Means – Variance Stabilized – Unequal n’s
Tests for Two Poisson Rates in a SteppedWedge ClusterRandomized Design  Complete Design
Tests for Two Poisson Rates in a SteppedWedge ClusterRandomized Design  Incomplete Design (Custom)
Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations
Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations – Unequal n’s
Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations
Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations – Unequal n’s
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation – Unequal n’s
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation – Unequal n’s
NonInferiority Tests for Two Means using Differences
NonInferiority Tests for Two Means using Differences – Unequal n’s
NonInferiority Tests for Two Means using Ratios
NonInferiority Tests for Two Means using Ratios – Unequal n’s
NonInferiority Tests for the Ratio of Two Poisson Rates
NonInferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
NonInferiority Tests for the Ratio of Two Negative Binomial Rates
NonInferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
NonInferiority Tests for Two Means in a ClusterRandomized Design
GroupSequential Tests for Two Means
GroupSequential Tests for Two Means – Unequal n’s
GroupSequential Tests for Two Means (Simulation) Assuming Normality
GroupSequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s
GroupSequential Tests for Two Means (Simulation) General Assumptions
GroupSequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s
GroupSequential Tests for Two Means (Simulation) General Assumptions – MannWhitney Test
GroupSequential Tests for Two Means (Simulation) General Assumptions – MannWhitney Test – Unequal n’s
GroupSequential NonInferiority Tests for Two Means
GroupSequential NonInferiority Tests for Two Means – Unequal n’s
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test – Unequal n’s
GroupSequential NonInferiority Tests for Two Means with Known Variances (Simulation)
GroupSequential NonInferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
GroupSequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
GroupSequential NonInferiority TTests for Two Means (Simulation)
GroupSequential NonInferiority TTests for Two Means (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin TTests for Two Means (Simulation)
GroupSequential Superiority by a Margin TTests for Two Means (Simulation) – Unequal n’s
Equivalence Tests for Two Means using Differences
Equivalence Tests for Two Means using Differences – Unequal n’s
Equivalence Tests for Two Means using Ratios
Equivalence Tests for the Ratio of Two Poisson Rates
Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
Equivalence Tests for the Ratio of Two Negative Binomial Rates
Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Equivalence Tests for Two Means in a ClusterRandomized Design
Equivalence Tests for the Ratio of Two Means (Normal Data)
Equivalence Tests for Two Means using Ratios – Unequal n’s
Equivalence Tests for Two Means (Simulation) – TTest
Equivalence Tests for Two Means (Simulation) – TTest – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Welch Test
Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim TTest
Equivalence Tests for Two Means (Simulation) – Trim TTest – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim Welch Test
Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – MannWhitney Test
Equivalence Tests for Two Means (Simulation) – MannWhitney Test – Unequal n’s
Superiority by a Margin Tests for Two Means using Differences
Superiority by a Margin Tests for Two Means using Differences – Unequal n’s
Superiority by a Margin Tests for Two Means using Ratios
Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Superiority by a Margin Tests for Two Means in a ClusterRandomized Design
Tests for Two Means from a ClusterRandomized Design
Tests for Two Means from a ClusterRandomized Design – Unequal n’s
Tests for Two Means in a SteppedWedge ClusterRandomized Design  Complete Design
Tests for Two Means in a SteppedWedge ClusterRandomized Design  Incomplete Design (Custom)
Tests for Two Means in a Multicenter Randomized Design
Multiple TwoSample TTests – FalseDiscovery Rate
Multiple TwoSample TTests – FalseDiscovery Rate – Unequal n’s
Multiple TwoSample TTests – Experimentwise Error Rate
Multiple TwoSample TTests – Experimentwise Error Rate – Unequal n’s
Tests for Two Means from a Repeated Measures Design
Tests for Two Means from a Repeated Measures Design – Unequal n’s
Tests for Two Groups of PrePost Scores
Tests for Two Groups of PrePost Scores – Unequal n’s
Conditional Power of TwoSample TTests
Conditional Power of TwoSample TTests – Unequal n’s
Hotelling's TwoSample TSquared
Hotelling's TwoSample TSquared – Unequal n’s
Tests for Fold Change of Two Means
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Continuous Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Continuous Outcome)
Mixed Models Tests for Two Means in a 2Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Two Means in a 2Level Hierarchical Design (Level1 Randomization)
Mixed Models Tests for the Slope Difference in a 2Level Hierarchical Design with Fixed Slopes
Mixed Models Tests for the Slope Difference in a 2Level Hierarchical Design with Random Slopes
Mixed Models Tests for Two Means in a 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Two Means in a 3Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Two Means in a 3Level Hierarchical Design (Level1 Randomization)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Fixed Slopes (Level2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Random Slopes (Level2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Fixed Slopes (Level3 Rand.)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Random Slopes (Level3 Rand.)
GroupSequential Tests for Two Means with Known Variances (Simulation)
GroupSequential TTests for Two Means (Simulation)
Conditional Power of TwoSample TTests for NonInferiority
Conditional Power of TwoSample TTests for Superiority by a Margin
Mixed Models Tests for Two Means at the End of FollowUp in a 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Two Means at the End of FollowUp in a 2Level Hierarchical Design
TwoSample TTests for NonInferiority Assuming Equal Variance
TwoSample TTests for NonInferiority Allowing Unequal Variance
TwoSample TTests for Superiority by a Margin Assuming Equal Variance
TwoSample TTests for Superiority by a Margin Allowing Unequal Variance
TwoSample TTests for Equivalence Allowing Unequal Variance
MannWhitney U or Wilcoxon RankSum Tests
MannWhitney U or Wilcoxon RankSum Tests for NonInferiority
MannWhitney U or Wilcoxon RankSum Tests for Superiority by a Margin
GEE Tests for Two Means in a Stratified ClusterRandomized Design
GEE Tests for Two Means in a ClusterRandomized Design
Tests for Two Means in a SplitMouth Design
Mixed Models Tests for Two Means in a ClusterRandomized Design
Tests for Two Means in a 2x2 CrossOver Design using Differences
Tests for Two Means in a 2x2 CrossOver Design using Ratios
NonInferiority Tests for Two Means in a 2x2 CrossOver Design using Differences
NonInferiority Tests for Two Means in a 2x2 CrossOver Design using Ratios
Equivalence Tests for Two Means in a 2x2 CrossOver Design using Differences
Equivalence Tests for Two Means in a 2x2 CrossOver Design using Ratios
Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design using Differences
Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design using Ratios
Conditional Power of 2x2 CrossOver Designs
Conditional Power of NonInferiority Tests for Two Means in a 2x2 CrossOver Design
Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design
NonInferiority Tests for Two Means in a HigherOrder CrossOver Design using Differences
NonInferiority Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Equivalence Tests for Two Means in a HigherOrder CrossOver Design using Differences
Equivalence Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Superiority by a Margin Tests for Two Means in a HigherOrder CrossOver Design using Differences
Superiority by a Margin Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Tests for the Difference of Two Means in a HigherOrder CrossOver Design
Tests for the Ratio of Two Means in a HigherOrder CrossOver Design
M x M CrossOver Designs
MPeriod CrossOver Designs using Contrasts
Tests for Pairwise Mean Differences in a Williams CrossOver Design
NonInferiority Tests for Pairwise Mean Differences in a Williams CrossOver Design
Superiority by a Margin Tests for Pairwise Mean Differences in a Williams CrossOver Design
Equivalence Tests for Pairwise Mean Differences in a Williams CrossOver Design
OneWay Analysis of Variance
OneWay Analysis of Variance – Unequal n’s
OneWay Analysis of Variance FTests (Simulation)
OneWay Analysis of Variance FTests (Simulation) – Unequal n’s
OneWay Analysis of Variance FTests using Effect Size
OneWay Analysis of Variance FTests using Effect Size – Unequal n’s
Power Comparison of Tests of Means in OneWay Designs (Simulation)
Power Comparison of Tests of Means in OneWay Designs (Simulation) – Unequal n’s
Analysis of Covariance (ANCOVA)
OneWay Analysis of Variance Contrasts
OneWay Analysis of Variance Contrasts
Analysis of Covariance (ANCOVA) – Unequal n’s
KruskalWallis Tests (Simulation)
KruskalWallis Tests (Simulation) – Unequal n’s
TerryHoeffding NormalScores Tests of Means (Simulation)
TerryHoeffding NormalScores Tests of Means (Simulation) – Unequal n’s
Van der Waerden Normal Quantiles Tests of Means (Simulation)
Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s
Pairwise Multiple Comparisons (Simulation) – TukeyKramer
Pairwise Multiple Comparisons (Simulation) – TukeyKramer – Unequal n’s
Pairwise Multiple Comparisons (Simulation) – KruskalWallis
Pairwise Multiple Comparisons (Simulation) – KruskalWallis – Unequal n’s
Pairwise Multiple Comparisons (Simulation) – GamesHowell
Pairwise Multiple Comparisons (Simulation) – GamesHowell – Unequal n’s
Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett
Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett – Unequal n’s
Multiple Comparisons of Treatments vs. a Control (Simulation) – KruskalWallis
Multiple Comparisons of Treatments vs. a Control (Simulation) – KruskalWallis – Unequal n’s
Multiple Comparisons – All Pairs – TukeyKramer
Multiple Comparisons – All Pairs – TukeyKramer – Unequal n’s
Multiple Comparisons – With Best – Hsu
Multiple Comparisons – With Best – Hsu – Unequal n’s
Multiple Comparisons – With Control – Dunnett
Multiple Comparisons – With Control – Dunnett – Unequal n’s
Multiple Contrasts (Simulation) – DunnBonferroni
Multiple Contrasts (Simulation) – DunnBonferroni – Unequal n’s
Multiple Contrasts (Simulation) – DunnWelch
Multiple Contrasts (Simulation) – DunnWelch – Unequal n’s
Williams Test for the Minimum Effective Dose
Factorial Analysis of Variance
Factorial Analysis of Variance using Effect Size
Randomized Block Analysis of Variance
Repeated Measures Analysis
Repeated Measures Analysis – Unequal n’s
OneWay Repeated Measures
OneWay Repeated Measures Contrasts
Confidence Intervals for OneWay Repeated Measures Contrasts
MANOVA
MANOVA – Unequal n’s
Mixed Models
Mixed Models – Unequal n’s
GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Continuous Outcome)
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Continuous Outcome)
GEE Tests for Multiple Means in a ClusterRandomized Design
MultiArm Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
MultiArm, NonInferiority Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
MultiArm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
MultiArm, Equivalence Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
MultiArm Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances
MultiArm, NonInferiority Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances
MultiArm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
MultiArm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
MultiArm Tests of the Ratio of Treatment and Control Means Assuming LogNormal Data
MultiArm, NonInferiority Tests of the Ratio of Treatment and Control Means Assuming LogNormal Data
MultiArm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming LogNormal Data
MultiArm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming LogNormal Data
MultiArm Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
MultiArm, NonInferiority Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
MultiArm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
MultiArm, Equivalence Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
MultiArm Tests for Treatment and Control Means in a ClusterRandomized Design
MultiArm, NonInferiority Tests for Treatment and Control Means in a ClusterRandomized Design
Tests of Mediation Effect using the Sobel Test
Tests of Mediation Effect in Linear Regression
Tests of Mediation Effect in Logistic Regression
Tests of Mediation Effect in Poisson Regression
Tests of Mediation Effect in Cox Regression
Joint Tests of Mediation in Linear Regression with Continuous Variables
Confidence Intervals for MichaelisMenten Parameters
Confidence Intervals for MichaelisMenten Parameters – Unequal n’s
Mixed Models
Mixed Models – Unequal n’s
Mixed Models Tests for Two Means in a 2Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Two Means in a 2Level Hierarchical Design (Level1 Randomization)
Mixed Models Tests for the Slope Difference in a 2Level Hierarchical Design with Fixed Slopes
Mixed Models Tests for the Slope Difference in a 2Level Hierarchical Design with Random Slopes
Mixed Models Tests for Two Means in a 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Two Means in a 3Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Two Means in a 3Level Hierarchical Design (Level1 Randomization)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Fixed Slopes (Level2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Random Slopes (Level2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Fixed Slopes (Level3 Rand.)
Mixed Models Tests for the Slope Diff. in a 3Level Hier. Design with Random Slopes (Level3 Rand.)
Mixed Models Tests for Two Means at the End of FollowUp in a 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Two Means at the End of FollowUp in a 2Level Hierarchical Design
Mixed Models Tests for Two Means at the End of FollowUp in a 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Two Means at the End of FollowUp in a 2Level Hierarchical Design
Mixed Models Tests for Interaction in a 2×2 Factorial 2Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 2Level Hierarchical Design (Level1 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3Level Hierarchical Design (Level1 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Random Slopes (Level3 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Random Slopes (Level2 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 2Level Hierarchical Design with Random Slopes (Level2 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Fixed Slopes (Level3 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 3Level Hierarchical Design with Fixed Slopes (Level2 Randomization)
Mixed Models Tests for SlopeInteraction in a 2×2 Factorial 2Level Hierarchical Design with Fixed Slopes (Level2 Randomization)
Mixed Models Tests for Two Means in a ClusterRandomized Design
NonInferiority Tests for One Mean
NonInferiority Tests for Two Means using Differences
NonInferiority Tests for Two Means using Differences – Unequal n’s
NonInferiority Tests for Two Means using Ratios
NonInferiority Tests for Two Means using Ratios – Unequal n’s
NonInferiority Tests for the Ratio of Two Poisson Rates
NonInferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
NonInferiority Tests for the Ratio of Two Negative Binomial Rates
NonInferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
GroupSequential NonInferiority Tests for Two Means
GroupSequential NonInferiority Tests for Two Means – Unequal n’s
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test – Unequal n’s
NonInferiority Tests for Two Means in a 2x2 CrossOver Design using Differences
NonInferiority Tests for Two Means in a 2x2 CrossOver Design using Ratios
NonInferiority Tests for Two Means in a HigherOrder CrossOver Design using Differences
NonInferiority Tests for Two Means in a HigherOrder CrossOver Design using Ratios
NonInferiority Tests for Two Means in a ClusterRandomized Design
NonInferiority Tests for One Proportion – Exact
NonInferiority Tests for One Proportion – ZTest using S(P0)
NonInferiority Tests for One Proportion – ZTest using S(P0) with Continuity Correction
NonInferiority Tests for One Proportion – ZTest using S(Phat)
NonInferiority Tests for One Proportion – ZTest using S(Phat) with Continuity Correction
NonInferiority Tests for One Proportion using Differences
NonInferiority Tests for One Proportion using Ratios
NonInferiority Tests for One Proportion using Odds Ratios
NonInferiority Tests for Two Proportions – ZTest (Pooled)
NonInferiority Tests for Two Proportions – ZTest (Pooled) – Unequal n’s
NonInferiority Tests for Two Proportions – ZTest (Unpooled)
NonInferiority Tests for Two Proportions – ZTest (Unpooled) – Unequal n’s
NonInferiority Tests for Two Proportions – ZTest (Pooled) with Continuity Correction
NonInferiority Tests for Two Proportions – ZTest (Pooled) with Continuity Correction – Unequal n’s
NonInferiority Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction
NonInferiority Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction – Unequal n’s
NonInferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning)
NonInferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
NonInferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
NonInferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
NonInferiority Tests for Two Proportions – Likelihood Score (Gart & Nam)
NonInferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
NonInferiority Tests for Two Proportions using Differences
NonInferiority Tests for Two Proportions using Ratios
NonInferiority Tests for Two Proportions using Odds Ratios
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
GroupSequential NonInferiority Tests for Two Proportions using Differences (Simulation)
GroupSequential NonInferiority Tests for Two Proportions using Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Hazard Rates (Simulation)
GroupSequential NonInferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
GroupSequential NonInferiority Tests for Two Means with Known Variances (Simulation)
GroupSequential NonInferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
GroupSequential NonInferiority TTests for Two Means (Simulation)
GroupSequential NonInferiority TTests for Two Means (Simulation) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Unequal n’s
NonInferiority Tests for Two Correlated Proportions using Differences
NonInferiority Tests for Two Correlated Proportions using Ratios
NonInferiority Tests for Two Proportions in a ClusterRandomized Design – ZTest (Pooled)
NonInferiority Tests for Two Proportions in a ClusterRandomized Design – ZTest (Pooled) – Unequal n’s
NonInferiority Tests for Two Proportions in a ClusterRandomized Design – ZTest (Unpooled)
NonInferiority Tests for Two Proportions in a ClusterRandomized Design – ZTest (Unpooled) – Unequal n’s
NonInferiority Tests for Two Proportions in a ClusterRandomized Design – Likelihood Score (Farrington & Manning)
NonInferiority Tests for Two Proportions in a ClusterRandomized Design – Likelihood Score (Farrington & Manning) – Unequal n’s
NonInferiority Tests for Two Proportions in a ClusterRandomized Design using Differences
NonInferiority Tests for Two Proportions in a ClusterRandomized Design using Ratios
NonInferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
NonInferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s
NonInferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
NonInferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
NonInferiority Logrank Tests
NonInferiority Logrank Tests – Unequal n’s
NonInferiority Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
NonInferiority Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
NonInferiority Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
NonInferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 CrossOver Design
NonInferiority Tests for Pairwise Proportion Differences in a Williams CrossOver Design
NonInferiority Tests for Pairwise Mean Differences in a Williams CrossOver Design
Conditional Power of TwoSample TTests for NonInferiority
Conditional Power of NonInferiority Tests for the Difference Between Two Proportions
Conditional Power of NonInferiority Logrank Tests
Conditional Power of NonInferiority Tests for Two Means in a 2x2 CrossOver Design
Conditional Power of OneSample TTests for NonInferiority
Conditional Power of Paired TTests for NonInferiority
Conditional Power of NonInferiority Tests for One Proportion
NonInferiority Tests for Simple Linear Regression
NonInferiority Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
NonInferiority Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for the Difference of Two WithinSubject CV's in a Parallel Design
NonInferiority Tests for the Ratio of Two Variances
NonInferiority Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two Total Variances in a Replicated Design
NonInferiority Tests for Two Total Variances in a 2×2 CrossOver Design
NonInferiority Tests for Two Between Variances in a Replicated Design
OneSample ZTests for NonInferiority
Wilcoxon SignedRank Tests for NonInferiority
Paired TTests for NonInferiority
Paired ZTests for NonInferiority
Paired Wilcoxon SignedRank Tests for NonInferiority
TwoSample TTests for NonInferiority Allowing Unequal Variance
TwoSample TTests for NonInferiority Assuming Equal Variance
MannWhitney U or Wilcoxon RankSum Tests for NonInferiority
MultiArm, NonInferiority Tests of the Difference Between Treatment and Control Proportions
MultiArm, NonInferiority Tests of the Ratio of Treatment and Control Proportions
MultiArm, NonInferiority Tests of the Odds Ratio of Treatment and Control Proportions
MultiArm, NonInferiority Tests for Treatment and Control Proportions in a ClusterRandomized Design
MultiArm, NonInferiority Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
MultiArm, NonInferiority Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances
MultiArm, NonInferiority Tests of the Ratio of Treatment and Control Means Assuming LogNormal Data
MultiArm, NonInferiority Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
MultiArm, NonInferiority Tests for Treatment and Control Means in a ClusterRandomized Design
MultiArm, NonInferiority Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
MultiArm, NonInferiority Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions
MultiArm, NonInferiority Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Spearman’s Rank Correlation Tests with Simulation
Kendall’s Taub Correlation Tests with Simulation
Power Comparison of Correlation Tests with Simulation
Tests for One Mean – (Simulation) – Wilcoxon Test
Tests for One Mean – (Simulation) – Sign Test
Tests for One Mean – (Simulation) – Bootstrap Test
Tests for Paired Means (Simulation) – Wilcoxon Test
Tests for Paired Means (Simulation) – Sign Test
Tests for Paired Means (Simulation) – Bootstrap Test
MannWhitneyWilcoxon Tests (Simulation)
MannWhitneyWilcoxon Tests (Simulation) – Unequal n’s
Equivalence Tests for Two Means (Simulation) – MannWhitney Test
Equivalence Tests for Two Means (Simulation) – MannWhitney Test – Unequal n’s
GroupSequential Tests for Two Means (Simulation) General Assumptions – MannWhitney Test
GroupSequential Tests for Two Means (Simulation) General Assumptions – MannWhitney Test – Unequal n’s
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test
GroupSequential NonInferiority Tests for Two Means – MannWhitney Test – Unequal n’s
Power Comparison of Tests of Means in OneWay Designs (Simulation)
Power Comparison of Tests of Means in OneWay Designs (Simulation) – Unequal n’s
KruskalWallis Tests (Simulation)
KruskalWallis Tests (Simulation) – Unequal n’s
TerryHoeffding NormalScores Tests of Means (Simulation)
TerryHoeffding NormalScores Tests of Means (Simulation) – Unequal n’s
Van der Waerden Normal Quantiles Tests of Means (Simulation)
Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s
Pairwise Multiple Comparisons (Simulation) – KruskalWallis
Pairwise Multiple Comparisons (Simulation) – KruskalWallis – Unequal n’s
Multiple Comparisons of Treatments vs. a Control (Simulation) – KruskalWallis
Multiple Comparisons of Treatments vs. a Control (Simulation) – KruskalWallis – Unequal n’s
Nonparametric Reference Intervals for NonNormal Data
Wilcoxon SignedRank Tests
Wilcoxon SignedRank Tests for NonInferiority
Wilcoxon SignedRank Tests for Superiority by a Margin
Paired Wilcoxon SignedRank Tests
Paired Wilcoxon SignedRank Tests for NonInferiority
Paired Wilcoxon SignedRank Tests for Superiority by a Margin
MannWhitney U or Wilcoxon RankSum Tests
MannWhitney U or Wilcoxon RankSum Tests for NonInferiority
MannWhitney U or Wilcoxon RankSum Tests for Superiority by a Margin
MannWhitney U or Wilcoxon RankSum Tests (Noether)
Stratified WilcoxonMannWhitney (van Elteren) Test
NonZero Null Tests for Simple Linear Regression
NonZero Null Tests for Simple Linear Regression using RSquared
NonUnity Null Tests for the Ratio of WithinSubject Variances in a Parallel Design
NonUnity Null Tests for the Ratio of WithinSubject Variances in a 2×2M Replicated CrossOver Design
NonZero Null Tests for the Difference of Two WithinSubject CV's in a Parallel Design
NonUnity Null Tests for the Ratio of Two Variances
NonUnity Null Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2 CrossOver Design
NonUnity Null Tests for Two Total Variances in a Replicated Design
NonUnity Null Tests for Two Between Variances in a Replicated Design
Normality Tests (Simulation) – AndersonDarling
Normality Tests (Simulation) – KolmogorovSmirnov
Normality Tests (Simulation) – Kurtosis
Normality Tests (Simulation) – MartinezIglewicz
Normality Tests (Simulation) – Omnibus
Normality Tests (Simulation) – Range
Normality Tests (Simulation) – ShapiroWilk
Normality Tests (Simulation) – Skewness
Normality Tests (Simulation) – Any Test
UCL of the Standard Deviation from a Pilot Study
Sample Size of a Pilot Study using the Upper Confidence Limit of the SD
Sample Size of a Pilot Study using the NonCentral t to Allow for Uncertainty in the SD
Required Sample Size to Detect a Problem in a Pilot Study
Pilot Study Sample Size Rules of Thumb
Tests for One Proportion – Exact
Tests for One Proportion – ZTest using S(P0)
Tests for One Proportion – ZTest using S(P0) with Continuity Correction
Tests for One Proportion – ZTest using S(Phat)
Tests for One Proportion – ZTest using S(Phat) with Continuity Correction
Tests for One Proportion using Differences
Tests for One Proportion using Ratios
Tests for One Proportion using Odds Ratios
Tests for One Proportion using Effect Size
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events
Confidence Intervals for One Proportion – Exact (ClopperPearson)
Confidence Intervals for One Proportion – Score (Wilson)
Confidence Intervals for One Proportion – Score with Continuity Correction
Confidence Intervals for One Proportion – Simple Asymptotic
Confidence Intervals for One Proportion – Simple Asymptotic with Continuity Correction
Confidence Intervals for One Proportion from a Finite Population
Confidence Intervals for One Proportion in a Stratified Design
Confidence Intervals for One Proportion in a ClusterRandomized Design
Confidence Intervals for One Proportion in a Stratified ClusterRandomized Design
NonInferiority Tests for One Proportion – Exact
NonInferiority Tests for One Proportion – ZTest using S(P0)
NonInferiority Tests for One Proportion – ZTest using S(P0) with Continuity Correction
NonInferiority Tests for One Proportion – ZTest using S(Phat)
NonInferiority Tests for One Proportion – ZTest using S(Phat) with Continuity Correction
NonInferiority Tests for One Proportion using Differences
NonInferiority Tests for One Proportion using Ratios
NonInferiority Tests for One Proportion using Odds Ratios
Equivalence Tests for One Proportion – Exact Test
Equivalence Tests for One Proportion – Z Test using S(P0)
Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction
Equivalence Tests for One Proportion – Z Test using S(Phat)
Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction
Equivalence Tests for One Proportion using Differences
Equivalence Tests for One Proportion using Ratios
Equivalence Tests for One Proportion using Odds Ratios
Superiority by a Margin Tests for One Proportion – Exact
Superiority by a Margin Tests for One Proportion – ZTest using S(P0)
Superiority by a Margin Tests for One Proportion – ZTest using S(P0) with Continuity Correction
Superiority by a Margin Tests for One Proportion – ZTest using S(Phat)
Superiority by a Margin Tests for One Proportion – ZTest using S(Phat) with Continuity Correction
Superiority by a Margin Tests for One Proportion using Differences
Superiority by a Margin Tests for One Proportion using Ratios
Superiority by a Margin Tests for One Proportion using Odds Ratios
SingleStage Phase II Clinical Trials
TwoStage Phase II Clinical Trials
ThreeStage Phase II Clinical Trials
PostMarketing Surveillance – Cohort – No Background Incidence
PostMarketing Surveillance – Cohort – Known Background Incidence
PostMarketing Surveillance – Cohort – Unknown Background Incidence
PostMarketing Surveillance – Matched CaseControl Study
Conditional Power of One Proportion Tests
Tests for OneSample Sensitivity and Specificity
Confidence Intervals for OneSample Sensitivity
Confidence Intervals for OneSample Specificity
Confidence Intervals for OneSample Sensitivity and Specificity
GroupSequential Tests for One Proportion in a Fleming Design
Conditional Power of NonInferiority Tests for One Proportion
Conditional Power of Superiority by a Margin Tests for One Proportion
TwoStage Designs for Tests of One Proportion (Simon)
Tests for Two Proportions – Fisher’s Exact Test
Tests for Two Proportions – Fisher’s Exact Test – Unequal n’s
Tests for Two Proportions – ZTest (Pooled)
Tests for Two Proportions – ZTest (Pooled) – Unequal n’s
Tests for Two Proportions – ZTest (Unpooled)
Tests for Two Proportions – ZTest (Unpooled) – Unequal n’s
Tests for Two Proportions – ZTest (Pooled) with Continuity Correction
Tests for Two Proportions – ZTest (Pooled) with Continuity Correction – Unequal n’s
Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction
Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction – Unequal n’s
Tests for Two Proportions – MantelHaenszel Test
Tests for Two Proportions – MantelHaenszel Test – Unequal n’s
Tests for Two Proportions – Likelihood Ratio Test
Tests for Two Proportions – Likelihood Ratio Test – Unequal n’s
Tests for Two Proportions using Differences
Tests for Two Proportions using Ratios
Tests for Two Proportions using Odds Ratios
Tests for Two Proportions using Effect Size
Tests for Two Proportions using Effect Size – Unequal n’s
Confidence Intervals for Two Proportions – Score (Farrington & Manning)
Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Wilson)
Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson)
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – ChiSquare with Continuity Correction (Yates)
Confidence Intervals for Two Proportions – ChiSquare with Continuity Correction (Yates) – Unequal n’s
Confidence Intervals for Two Proportions – ChiSquare (Pearson)
Confidence Intervals for Two Proportions – ChiSquare (Pearson) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz)
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter)
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Fleiss
Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional)
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – MantelHaenszel
Confidence Intervals for Two Proportions using Odds Ratios – MantelHaenszel – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple
Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s
NonInferiority Tests for Two Proportions – ZTest (Pooled)
NonInferiority Tests for Two Proportions – ZTest (Pooled) – Unequal n’s
NonInferiority Tests for Two Proportions – ZTest (Unpooled)
NonInferiority Tests for Two Proportions – ZTest (Unpooled) – Unequal n’s
NonInferiority Tests for Two Proportions – ZTest (Pooled) with Continuity Correction
NonInferiority Tests for Two Proportions – ZTest (Pooled) with Continuity Correction – Unequal n’s
NonInferiority Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction
NonInferiority Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction – Unequal n’s
NonInferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning)
NonInferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
NonInferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
NonInferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
NonInferiority Tests for Two Proportions – Likelihood Score (Gart & Nam)
NonInferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
NonInferiority Tests for Two Proportions using Differences
NonInferiority Tests for Two Proportions using Ratios
NonInferiority Tests for Two Proportions using Odds Ratios
Equivalence Tests for Two Proportions – Z Test (Pooled)
Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled)
Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam)
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Equivalence Tests for Two Proportions using Differences
Equivalence Tests for Two Proportions using Ratios
Equivalence Tests for Two Proportions using Odds Ratios
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled)
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled)
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Superiority by a Margin Tests for Two Proportions using Differences
Superiority by a Margin Tests for Two Proportions using Ratios
Superiority by a Margin Tests for Two Proportions using Odds Ratios
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR)
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR) – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design using Proportions
GroupSequential Tests for Two Proportions
GroupSequential Tests for Two Proportions – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled)
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled) – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled)
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled) – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction
GroupSequential Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – MantelHaenszel
GroupSequential Tests for Two Proportions (Simulation) – MantelHaenszel – Unequal n’s
GroupSequential Tests for Two Proportions (Simulation) – Fisher’s Exact
GroupSequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s
GroupSequential Tests for Two Proportions using Differences (Simulation)
GroupSequential Tests for Two Proportions using Ratios (Simulation)
GroupSequential Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
GroupSequential NonInferiority Tests for Two Proportions using Differences (Simulation)
GroupSequential NonInferiority Tests for Two Proportions using Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential NonInferiority Tests for Two Proportions (Simulation)
GroupSequential NonInferiority Tests for Two Proportions (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
Conditional Power of TwoProportions Tests
Conditional Power of TwoProportions Tests – Unequal n’s
Tests for Two Proportions in a Stratified Design (Cochran/MantelHaenzel Test)
Tests for Two Proportions in a Stratified Design (Cochran/MantelHaenzel Test) – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design
Tests for Two Proportions in a Repeated Measures Design – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios
Tests for Two Proportions in a SteppedWedge ClusterRandomized Design  Complete Design
Tests for Two Proportions in a SteppedWedge ClusterRandomized Design  Incomplete Design (Custom)
Mixed Models Tests for Two Proportions in a 2Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Two Proportions in a 2Level Hierarchical Design (Level1 Randomization)
Mixed Models Tests for Two Proportions in a 3Level Hierarchical Design (Level3 Randomization)
Mixed Models Tests for Two Proportions in a 3Level Hierarchical Design (Level2 Randomization)
Mixed Models Tests for Two Proportions in a 3Level Hierarchical Design (Level1 Randomization)
GroupSequential Tests for Two Proportions (Simulation)
Conditional Power of NonInferiority Tests for the Difference Between Two Proportions
Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
Superiority by a Margin Tests for the Difference Between Two Proportions
Superiority by a Margin Tests for the Ratio of Two Proportions
Superiority by a Margin Tests for the Odds Ratio of Two Proportions
Superiority by a Margin Tests for the Difference of Two Proportions in a ClusterRandomized Design
Superiority by a Margin Tests for the Ratio of Two Proportions in a ClusterRandomized Design
Tests for Two Proportions in a SplitMouth Design
Tests for Two Proportions in a Stratified ClusterRandomized Design (CochranMantelHaenszel Test)
Tests for Two Correlated Proportions (McNemar's Test)
Tests for Two Correlated Proportions (McNemar's Test) using Odds Ratios
Tests for Two Correlated Proportions in a Matched CaseControl Design
Tests for the Odds Ratio in a Matched CaseControl Design with a Binary Covariate using Conditional Logistic Regression
Tests for the Odds Ratio in a Matched CaseControl Design with a Quantitative X using Conditional Logistic Regression
Tests for the MatchedPair Difference of Two Proportions in a ClusterRandomized Design
NonInferiority Tests for Two Correlated Proportions
NonInferiority Tests for Two Correlated Proportions using Ratios
Equivalence Tests for Two Correlated Proportions
Equivalence Tests for Two Correlated Proportions using Ratios
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Binary Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Binary Outcome)
GEE Tests for Two Correlated Proportions with Dropout
Tests for Two Correlated Proportions with Incomplete Observations
Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
NonInferiority Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
NonInferiority Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Equivalence Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Tests for Pairwise Proportion Differences in a Williams CrossOver Design
NonInferiority Tests for Pairwise Proportion Differences in a Williams CrossOver Design
Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams CrossOver Design
Equivalence Tests for Pairwise Proportion Differences in a Williams CrossOver Design
ChiSquare Contingency Table Test
ChiSquare Multinomial Test
CochranArmitage Test for Trend in Proportions
CochranArmitage Test for Trend in Proportions – Unequal n’s
Multiple Comparisons of Proportions vs. Control
Multiple Comparisons of Proportions vs. Control – Unequal n’s
Logistic Regression
Tests for Two Ordered Categorical Variables
Tests for Two Ordered Categorical Variables – Unequal n’s
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Binary Outcome)
Tests for Multiple Correlated Proportions
GEE Tests for Multiple Proportions in a ClusterRandomized Design
Tests for Multiple Proportions in a OneWay Design
MultiArm Tests for Treatment and Control Proportions
MultiArm, NonInferiority Tests of the Difference Between Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests of the Difference Between Treatment and Control Proportions
MultiArm, Equivalence Tests of the Difference Between Treatment and Control Proportions
MultiArm, NonInferiority Tests of the Ratio of Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests of the Ratio of Treatment and Control Proportions
MultiArm, Equivalence Tests of the Ratio of Treatment and Control Proportions
MultiArm, NonInferiority Tests of the Odds Ratio of Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests of the Odds Ratio of Treatment and Control Proportions
MultiArm, Equivalence Tests of the Odds Ratio of Treatment and Control Proportions
MultiArm Tests for Treatment and Control Proportions in a ClusterRandomized Design
MultiArm, NonInferiority Tests for Treatment and Control Proportions in a ClusterRandomized Design
MultiArm, NonInferiority Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions
Acceptance Sampling for Attributes
Operating Characteristic Curves for Acceptance Sampling for Attributes
Acceptance Sampling for Attributes with Zero Nonconformities
Acceptance Sampling for Attributes with Fixed Nonconformities
Quality Control Charts for Means – Shewhart (Xbar) (Simulation)
Quality Control Charts for Means – CUSUM (Simulation)
Quality Control Charts for Means – CUSUM + Shewhart (Simulation)
Quality Control Charts for Means – FIR CUSUM (Simulation)
Quality Control Charts for Means – FIR CUSUM + Shewhart (Simulation)
Quality Control Charts for Means – EWMA (Simulation)
Quality Control Charts for Means – EWMA + Shewhart (Simulation)
Quality Control Charts for Variability – R (Simulation)
Quality Control Charts for Variability – S (Simulation)
Quality Control Charts for Variability – S with Probability Limits (Simulation)
Confidence Intervals for Cp
Confidence Intervals for Cpk
Tests for the Difference Between Two Poisson Rates
Tests for the Difference Between Two Poisson Rates in a ClusterRandomized Design
Tests for the MatchedPair Difference of Two Event Rates in a ClusterRandomized Design
Tests for the Ratio of Two Poisson Rates (Zhu)
Tests for the Ratio of Two Negative Binomial Rates
Poisson Means (Incidence Rates)
PostMarketing Surveillance (Incidence Rates)
Tests for Two Poisson Rates in a SteppedWedge ClusterRandomized Design  Complete Design
Tests for Two Poisson Rates in a SteppedWedge ClusterRandomized Design  Incomplete Design (Custom)
Poisson Regression
Equivalence Tests for the Ratio of Two Poisson Rates
Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
Equivalence Tests for the Ratio of Two Negative Binomial Rates
Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
NonInferiority Tests for the Ratio of Two Poisson Rates
NonInferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
NonInferiority Tests for the Ratio of Two Negative Binomial Rates
NonInferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Count Outcome)
GEE GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Count Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Count Outcome)
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Count Outcome)
Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
NonInferiority Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Tests of Mediation Effect in Poisson Regression
GEE Tests for Multiple Poisson Rates in a ClusterRandomized Design
Tests for One Poisson Rate with No Background Incidence (PostMarketing Surveillance)
Tests for One Poisson Rate with Known Background Incidence (PostMarketing Surveillance)
Tests for Two Poisson Rates with Background Incidence Estimated by the Control (PostMarketing Surveillance)
Tests for Two Poisson Rates in a Matched CaseControl Design (PostMarketing Surveillance)
Tests for the Difference Between Two Poisson Rates in a ClusterRandomized Design with Adjustment for Varying Cluster Sizes
Tests for Multiple Poisson Rates in a OneWay Design
Reference Intervals for Normal Data
Nonparametric Reference Intervals for NonNormal Data
Linear Regression
Confidence Intervals for Linear Regression Slope
Tests for the Difference Between Two Linear Regression Slopes
Tests for the Difference Between Two Linear Regression Intercepts
Cox Regression
Logistic Regression
Logistic Regression with One Binary Covariate using the Wald Test
Logistic Regression with Two Binary Covariates using the Wald Test
Logistic Regression with Two Binary Covariates and an Interaction using the Wald Test
Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates
Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates
Tests for the Odds Ratio in a Matched CaseControl Design with a Binary X using Conditional Logistic Regression
Tests for the Odds Ratio in a Matched CaseControl Design with a Quantitative X using Conditional Logistic Regression
Multiple Regression
Multiple Regression using Effect Size
Poisson Regression
Probit Analysis  Probit
Probit Analysis – Logit
Confidence Intervals for MichaelisMenten Parameters
Confidence Intervals for MichaelisMenten Parameters – Unequal n’s
Reference Intervals for Clinical and Lab Medicine
Mendelian Randomization with a Binary Outcome
Mendelian Randomization with a Continuous Outcome
Tests for the Odds Ratio in a Matched CaseControl Design with a Binary Covariate using Conditional Logistic Regression
Tests for the Odds Ratio in a Matched CaseControl Design with a Quantitative X using Conditional Logistic Regression
Tests for the Odds Ratio in Logistic Regression with One Normal X (Wald Test)
Tests for the Odds Ratio in Logistic Regression with One Normal X and Other Xs (Wald Test)
Tests for the Odds Ratio in Logistic Regression with One Binary X and Other Xs (Wald Test)
Tests of Mediation Effect using the Sobel Test
Tests of Mediation Effect in Linear Regression
Tests of Mediation Effect in Logistic Regression
Tests of Mediation Effect in Poisson Regression
Tests of Mediation Effect in Cox Regression
Joint Tests of Mediation in Linear Regression with Continuous Variables
Simple Linear Regression
NonZero Null Tests for Simple Linear Regression
NonInferiority Tests for Simple Linear Regression
Superiority by a Margin Tests for Simple Linear Regression
Equivalence Tests for Simple Linear Regression
Simple Linear Regression using RSquared
NonZero Null Tests for Simple Linear Regression using RSquared
Deming Regression
Tests for One ROC Curve – Discrete Data
Tests for One ROC Curve – Continuous Data
Tests for One ROC Curve – Continuous Data – Unequal n’s
Tests for Two ROC Curves – Discrete Data
Tests for Two ROC Curves – Discrete Data – Unequal n’s
Tests for Two ROC Curves – Continuous Data
Tests for Two ROC Curves – Continuous Data – Unequal n’s
Confidence Intervals for the Area Under an ROC Curve
Confidence Intervals for the Area Under an ROC Curve – Unequal n’s
Tests for OneSample Sensitivity and Specificity
Tests for Paired Sensitivities
Tests for Two Independent Sensitivities – Fisher’s Exact Test
Tests for Two Independent Sensitivities – Fisher’s Exact Test – Unequal n’s
Tests for Two Independent Sensitivities – ZTest (Pooled)
Tests for Two Independent Sensitivities – ZTest (Pooled) – Unequal n’s
Tests for Two Independent Sensitivities – ZTest (Unpooled)
Tests for Two Independent Sensitivities – ZTest (Unpooled) – Unequal n’s
Tests for Two Independent Sensitivities – ZTest (Pooled) with Continuity Correction
Tests for Two Independent Sensitivities – ZTest (Pooled) with Continuity Correction – Unequal n’s
Tests for Two Independent Sensitivities – ZTest (Unpooled) with Continuity Correction
Tests for Two Independent Sensitivities – ZTest (Unpooled) with Continuity Correction – Unequal n’s
Tests for Two Independent Sensitivities – MantelHaenszel Test
Tests for Two Independent Sensitivities – MantelHaenszel Test – Unequal n’s
Tests for Two Independent Sensitivities – Likelihood Ratio Test
Tests for Two Independent Sensitivities – Likelihood Ratio Test – Unequal n’s
Confidence Intervals for OneSample Sensitivity
Confidence Intervals for OneSample Specificity
Confidence Intervals for OneSample Sensitivity and Specificity
Tests for the Difference Between Treatment and Control Means in SingleCase (AB)K Designs
Superiority by a Margin Tests for One Mean
Superiority by a Margin Tests for Paired Means
Superiority by a Margin Tests for Two Means using Differences
Superiority by a Margin Tests for Two Means using Differences – Unequal n’s
Superiority by a Margin Tests for Two Means using Ratios
Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design using Differences
Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design using Ratios
Superiority by a Margin Tests for Two Means in a HigherOrder CrossOver Design using Differences
Superiority by a Margin Tests for Two Means in a HigherOrder CrossOver Design using Ratios
Superiority by a Margin Tests for Two Means in a ClusterRandomized Design
Superiority by a Margin Tests for One Proportion – Exact
Superiority by a Margin Tests for One Proportion – ZTest using S(P0)
Superiority by a Margin Tests for One Proportion – ZTest using S(P0) with Continuity Correction
Superiority by a Margin Tests for One Proportion – ZTest using S(Phat)
Superiority by a Margin Tests for One Proportion – ZTest using S(Phat) with Continuity Correction
Superiority by a Margin Tests for One Proportion using Differences
Superiority by a Margin Tests for One Proportion using Ratios
Superiority by a Margin Tests for One Proportion using Odds Ratios
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled)
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled)
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – ZTest (Pooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – ZTest (Unpooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Superiority Test of Two Proportions from a ClusterRandomized Design – Z Test (Pooled)
Superiority Test of Two Proportions from a ClusterRandomized Design – Z Test (Pooled) – Unequal n’s
Superiority Test of Two Proportions from a ClusterRandomized Design – Z Test (Unpooled)
Superiority Test of Two Proportions from a ClusterRandomized Design – Z Test (Unpooled) – Unequal n’s
Superiority Test of Two Proportions from a ClusterRandomized Design – Likelihood Score Test
Superiority Test of Two Proportions from a ClusterRandomized Design – Likelihood Score Test – Unequal n’s
Superiority by a Margin Tests for Two Proportions using Differences
Superiority by a Margin Tests for Two Proportions using Ratios
Superiority by a Margin Tests for Two Proportions using Odds Ratios
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Pooled) with Continuity Correction – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – ZTest (Unpooled) with Continuity Correction – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
GroupSequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
GroupSequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
GroupSequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin TTests for Two Means (Simulation)
GroupSequential Superiority by a Margin TTests for Two Means (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation)
GroupSequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Unpooled)
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Unpooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design – Z Test (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design using Proportions
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design using Differences
Superiority by a Margin Tests for Two Proportions in a ClusterRandomized Design using Ratios
Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s
Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 CrossOver Design
Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 CrossOver Design
Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams CrossOver Design
Superiority by a Margin Tests for Pairwise Mean Differences in a Williams CrossOver Design
Conditional Power of TwoSample TTests for Superiority by a Margin
Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
Conditional Power of Superiority by a Margin Logrank Tests
Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 CrossOver Design
Conditional Power of OneSample TTests for Superiority by a Margin
Conditional Power of Paired TTests for Superiority by a Margin
Conditional Power of Superiority by a Margin Tests for One Proportion
Superiority by a Margin Tests for the Difference Between Two Proportions
Superiority by a Margin Tests for the Ratio of Two Proportions
Superiority by a Margin Tests for the Odds Ratio of Two Proportions
Superiority by a Margin Tests for the Difference of Two Proportions in a ClusterRandomized Design
Superiority by a Margin Tests for the Ratio of Two Proportions in a ClusterRandomized Design
Superiority by a Margin Tests for Simple Linear Regression
Superiority by a Margin Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
Superiority by a Margin Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for the Difference of Two WithinSubject CV's in a Parallel Design
Superiority by a Margin Tests for the Ratio of Two Variances
Superiority by a Margin Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a Replicated Design
Superiority by a Margin Tests for Two Total Variances in a 2×2 CrossOver Design
Superiority by a Margin Tests for Two Between Variances in a Replicated Design
OneSample ZTests for Superiority by a Margin
Wilcoxon SignedRank Tests for Superiority by a Margin
Paired TTests for Superiority by a Margin
Paired ZTests for Superiority by a Margin
Paired Wilcoxon SignedRank Tests for Superiority by a Margin
TwoSample TTests for Superiority by a Margin Assuming Equal Variance
TwoSample TTests for Superiority by a Margin Allowing Unequal Variance
MannWhitney U or Wilcoxon RankSum Tests for Superiority by a Margin
MultiArm, Superiority by a Margin Tests of the Difference Between Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests of the Ratio of Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests of the Odds Ratio of Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
MultiArm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
MultiArm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming LogNormal Data
MultiArm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
MultiArm, Superiority by a Margin Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
MultiArm, Superiority by a Margin Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions
MultiArm, Superiority by a Margin Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
OneSample Logrank Tests
OneSample Cure Model Tests
Logrank Tests (Input Hazard Rates)
Logrank Tests (Input Median Survival Times)
Logrank Tests (Input Proportion Surviving)
Logrank Tests (Input Mortality)
Logrank Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Logrank Tests – Unequal n’s
TwoGroup Survival Comparison Tests (Simulation) – Logrank
TwoGroup Survival Comparison Tests (Simulation) – Logrank – Unequal n’s
TwoGroup Survival Comparison Tests (Simulation) – GehanWilcoxon
TwoGroup Survival Comparison Tests (Simulation) – GehanWilcoxon – Unequal n’s
TwoGroup Survival Comparison Tests (Simulation) – TaroneWare
TwoGroup Survival Comparison Tests (Simulation) – TaroneWare – Unequal n’s
TwoGroup Survival Comparison Tests (Simulation) – PetoPeto
TwoGroup Survival Comparison Tests (Simulation) – PetoPeto – Unequal n’s
TwoGroup Survival Comparison Tests (Simulation) – Modified PetoPeto
TwoGroup Survival Comparison Tests (Simulation) – Modified PetoPeto – Unequal n’s
TwoGroup Survival Comparison Tests (Simulation) – FlemingHarrington Custom Parameters
TwoGroup Survival Comparison Tests (Simulation) – FlemingHarrington Custom Parameters – Unequal n’s
Logrank Tests in a ClusterRandomized Design
Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Logrank Tests Accounting for Competing Risks
Logrank Tests Accounting for Competing Risks – Unequal n’s
NonInferiority Logrank Tests
NonInferiority Logrank Tests – Unequal n’s
NonInferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model
NonInferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
NonInferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model
NonInferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model
Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model
Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
GroupSequential Logrank Tests of Two Survival Curves assuming Exponential Survival
GroupSequential Logrank Tests of Two Survival Curves assuming Proportional Hazards
GroupSequential Logrank Tests using Hazard Rates (Simulation)
GroupSequential Logrank Tests using Median Survival Times (Simulation)
GroupSequential Logrank Tests using Proportion Surviving (Simulation)
GroupSequential Logrank Tests using Mortality (Simulation)
GroupSequential Logrank Tests (Simulation) – Unequal n’s
GroupSequential Logrank Tests (Simulation) – GehanWilcoxon
GroupSequential Logrank Tests (Simulation) – GehanWilcoxon – Unequal n’s
GroupSequential Logrank Tests (Simulation) – TaroneWare
GroupSequential Logrank Tests (Simulation) – TaroneWare – Unequal n’s
GroupSequential Logrank Tests (Simulation) – PetoPeto
GroupSequential Logrank Tests (Simulation) – PetoPeto – Unequal n’s
GroupSequential Logrank Tests (Simulation) – Modified PetoPeto
GroupSequential Logrank Tests (Simulation) – Modified PetoPeto – Unequal n’s
GroupSequential Logrank Tests (Simulation) – FlemingHarrington Custom Parameters
GroupSequential Logrank Tests (Simulation) – FlemingHarrington Custom Parameters – Unequal n’s
GroupSequential Tests for Two Hazard Rates (Simulation)
GroupSequential Tests for Two Hazard Rates (Simulation) – Unequal n’s
GroupSequential NonInferiority Tests for Two Hazard Rates (Simulation)
GroupSequential NonInferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
GroupSequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
GroupSequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
Conditional Power of Logrank Tests
Cox Regression
Tests for One Exponential Mean with Replacement
Tests for One Exponential Mean without Replacement
Tests for Two Exponential Means
Tests for Two Exponential Means – Unequal n’s
Confidence Intervals for the Exponential Lifetime Mean
Confidence Intervals for the Exponential Hazard Rate
Confidence Intervals for an Exponential Lifetime Percentile
Confidence Intervals for Exponential Reliability
Probit Analysis  Probit
Probit Analysis – Logit
Logrank Tests – Freedman
Logrank Tests – Freedman – Unequal n’s
Logrank Tests – Lachin and Foulkes
Logrank Tests – Lachin and Foulkes – Unequal n’s
Conditional Power of NonInferiority Logrank Tests
Conditional Power of Superiority by a Margin Logrank Tests
Tests of Mediation Effect in Cox Regression
OneSample Tests for Exponential Hazard Rate
MultiArm Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
MultiArm, NonInferiority Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
MultiArm, Superiority by a Margin Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
MultiArm, Equivalence Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
MultiArm, NonInferiority Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
MultiArm, Superiority by a Margin Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Tolerance Intervals for Normal Data
Tolerance Intervals for Any Data (Nonparametric)
Tolerance Intervals for Exponential Data
Tolerance Intervals for Gamma Data
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events
Tests for Two Groups Assuming a TwoPart Model
Tests for Two Groups Assuming a TwoPart Model with Detection Limits
Tests for One Variance
Tests for Two Variances
Tests for Two Variances – Unequal n’s
Bartlett Test of Variances (Simulation)
Bartlett Test of Variances (Simulation) – Unequal n’s
Levene Test of Variances (Simulation)
Levene Test of Variances (Simulation) – Unequal n’s
BrownForsythe Test of Variances (Simulation)
BrownForsythe Test of Variances (Simulation) – Unequal n’s
Conover Test of Variances (Simulation)
Conover Test of Variances (Simulation) – Unequal n’s
Power Comparison of Tests of Variances with Simulation
Power Comparison of Tests of Variances with Simulation – Unequal n’s
Confidence Intervals for One Standard Deviation using Standard Deviation
Confidence Intervals for One Standard Deviation using Relative Error
Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation
Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation
Confidence Intervals for One Variance using Variance
Confidence Intervals for One Variance using Relative Error
Confidence Intervals for One Variance with Tolerance Probability – Known Variance
Confidence Intervals for One Variance with Tolerance Probability – Sample Variance
Confidence Intervals for the Ratio of Two Variances using Variances
Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s
Confidence Intervals for the Ratio of Two Variances using Relative Error
Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s
Quality Control Charts for Variability – R (Simulation)
Quality Control Charts for Variability – S (Simulation)
Quality Control Charts for Variability – S with Probability Limits (Simulation)
Equivalence Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
NonInferiority Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
Superiority by a Margin Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
Tests for the Ratio of Two WithinSubject Variances in a Parallel Design
NonUnity Null Tests for the Ratio of WithinSubject Variances in a Parallel Design
Equivalence Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
Tests for the Ratio of Two WithinSubject Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for the Ratio of WithinSubject Variances in a 2×2M Replicated CrossOver Design
Tests for the Ratio of Two Variances
NonUnity Null Tests for the Ratio of Two Variances
NonInferiority Tests for the Ratio of Two Variances
Superiority by a Margin Tests for the Ratio of Two Variances
Equivalence Tests for the Ratio of Two Variances
Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two BetweenSubject Variances in a 2×2M Replicated CrossOver Design
Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
NonInferiority Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated CrossOver Design
Tests for Two Total Variances in a Replicated Design
NonUnity Null Tests for Two Total Variances in a Replicated Design
NonInferiority Tests for Two Total Variances in a Replicated Design
Superiority by a Margin Tests for Two Total Variances in a Replicated Design
Tests for Two Total Variances in a 2×2 CrossOver Design
NonUnity Null Tests for Two Total Variances in a 2×2 CrossOver Design
NonInferiority Tests for Two Total Variances in a 2×2 CrossOver Design
Superiority by a Margin Tests for Two Total Variances in a 2×2 CrossOver Design
Tests for Two Between Variances in a Replicated Design
NonUnity Null Tests for Two Between Variances in a Replicated Design
NonInferiority Tests for Two Between Variances in a Replicated Design
Superiority by a Margin Tests for Two Between Variances in a Replicated Design
Tests for the Difference of Two WithinSubject CV's in a Parallel Design
NonZero Null Tests for the Difference of Two WithinSubject CV's in a Parallel Design
NonInferiority Tests for the Difference of Two WithinSubject CV's in a Parallel Design
Superiority by a Margin Tests for the Difference of Two WithinSubject CV's in a Parallel Design
Equivalence Tests for the Difference of Two WithinSubject CV's in a Parallel Design
Tests Comparing Two Groups Using the WinRatio Composite Endpoint
Tests for Two Groups using the WinRatio Composite Endpoint in a Stratified Design
Bayesian Adjustment using the Posterior Error Approach
Installation Validation Tool for Installation Qualification (IQ)
Procedure Validation Tool for Operational Qualification (OQ)
ChiSquare EffectSize Estimator
Multinomial EffectSize Estimator
Odds Ratio to Proportions Converter
Probability Calculator (Various Distributions)
Standard Deviation Estimator
Survival Parameter Conversion Tool
Standard Deviation of Means Calculator
Data Simulator
这些工具用于生成设计，而不是用于估计或分析样本量。
Balanced Incomplete Block Designs
DOptimal Designs
Design Generator
Fractional Factorial Designs
Latin Square Designs
Response Surface Designs
Screening Designs
Taguchi Designs
TwoLevel Designs
Randomization Lists
为了运行 PASS，您的计算机必须满足以下最低标准：
处理器：
450 MHz 或更快的处理器
32 位 (x86) 或 64 位 (x64) 处理器
内存：
256 MB（推荐 512 MB）
操作系统：
Windows 11 或更高版本
Windows 10
Windows 8.1
Windows 8
带有 Service Pack 2 或更高版本的 Windows Vista
Windows Server 2019 或更高版本
Windows Server 2016
Windows Server 2012 R2
Windows Server 2012
Windows Server 2008 SP2/R2
权限：
仅在安装期间需要管理权限
第三方软件：
Microsoft .NET 4.6（预装 Windows 10 或更高版本和 Windows Server 2016 或更高版本。需要在 Windows 8.1 或更早版本和 Windows Server
2012 R2 或更早版本上安装。对于需要安装 .NET 4.6 的系统，.NET 4.6 下载助手将在您运行 PASS 安装文件时自动启动。）
Microsoft Windows Installer 3.1 或更高版本 Adobe Reader® 7 或更高版本（仅帮助系统需要）
硬盘空间：
400 MB 用于 PASS（如果尚未安装，则加上用于 Microsoft .NET 4.6 的空间）
打印机：
任何与 Windows 兼容的喷墨或激光打印机
在 Mac 上通过 2023
在 Mac 上运行 PASS 2023 需要 Windows 模拟器（例如 Parallels）。
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