PASS Documentation

Use the links below to load individual chapters from the PASS statistical software training documentation in PDF format. The chapters correspond to the procedures available in PASS. Each chapter generally has an introduction to the topic, technical details including power and sample size calculation details, explanations for the procedure options, examples, and procedure validation examples. Each of these chapters is also available through the PASS help system when running the software.

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Quick Start

Introduction

Cluster-Randomized

Two Means

Test (Inequality)

Non-Inferiority

Superiority by a Margin

Equivalence

Two Proportions

Test (Inequality)

Non-Inferiority

Superiority by a Margin

Equivalence

Rates and Counts

Survival

Stepped-Wedge

Conditional Power

Means

Proportions

Survival

Confidence Intervals

Correlation

Means

Percentiles

Proportions

Quality Control

Reference Intervals

Regression

ROC

Sensitivity and Specificity

Standard Deviation

Survival

Variances

Correlation

Correlation

Test (Inequality)

Confidence Interval

Coefficient (Cronbach’s) Alpha

Intraclass Correlation

Kappa Rater Agreement

Lin’s Concordance Correlation

Design of Experiments

Randomization Lists

Experimental Design

Equivalence

Means

Proportions

Rates and Counts

Survival

Group-Sequential

Means

Proportions

Survival

Means

One Mean

Test (Inequality)

Nonparametric

Confidence Interval

Non-Inferiority

Superiority by a Margin

Equivalence

Multiple Tests

Conditional Power

Paired Means

Test (Inequality)

Nonparametric

Confidence Interval

Non-Inferiority

Superiority by a Margin

Equivalence

Cluster-Randomized

Multiple Tests

Conditional Power

Two Independent Means

T-Test (Inequality)

Z-Test (Inequality)

Nonparametric

Ratio Test

Non-Normal Data

Confidence Interval

Non-Inferiority

Superiority by a Margin

Equivalence

Cluster-Randomized

Multicenter-Randomized

Repeated Measures

Group-Sequential

Multiple Tests

Conditional Power

Two Means (Cluster-Randomized)

Cross-Over (2×2) Design

Test (Inequality)

Non-Inferiority

Superiority by a Margin

Equivalence

Conditional Power

Cross-Over (Higher-Order) Design

Test (Inequality)

Non-Inferiority

Superiority by a Margin

Equivalence

One-Way Designs (ANOVA)

ANOVA F-Test

Analysis of Covariance

Nonparametric

Multiple Comparisons

Non-Normal Data

Multi-Factor Designs (ANOVA)

Multiple Comparisons

Analysis of Covariance

Repeated Measures

Mixed Models

Multivariate Means

Nonparametric

One Mean

Paired Means

Two Independent Means

Single-Factor

Multiple Comparisons

Tools

Microarray

Non-Inferiority

Means

Proportions

Rates and Counts

Survival

Nonparametric

One Mean

Paired Means

Two Independent Means

Single-Factor

Multiple Comparisons

Correlation

Variances

Tolerance Intervals

Normality

Proportions

One Proportion

Test (Inequality)

Confidence Interval

Non-Inferiority

Superiority by a Margin

Equivalence

Group-Sequential

Rare Events

Post-Marketing Surveillance

Conditional Power

Two Correlated (Paired) Proportions

Test (Inequality)

Non-Inferiority

Equivalence

Two Independent Proportions

Test (Inequality)

Confidence Interval

Non-Inferiority

Superiority by a Margin

Equivalence

Repeated Measures

Stratified

Group-Sequential

Conditional Power

Two Proportions (Cluster-Randomized)

Test (Inequality)

Non-Inferiority

Superiority by a Margin

Equivalence

Contingency Table (Chi-Square Tests)

Repeated Measures

Multiple Comparisons

Stratified

Trend

Ordered Categorical

Logistic Regression

Binary X (Wald Test)

Binary X (Confidence Interval)

Binary and Continuous X’s

Conditional Logistic Regression

Kappa Rater Agreement

Sensitivity and Specificity

Tools

Quality Control

Rates and Counts

Test (Inequality)

Non-Inferiority

Superiority by a Margin

Equivalence

Cluster-Randomized

Poisson Regression

Post-Marketing Surveillance

Poisson Rates

Negative Binomal Rates

Regression

Linear Regression

Multiple Regression

Cox Regression

Poisson Regression

Logistic Regression

Binary X (Wald Test)

Binary X (Confidence Interval)

Binary and Continuous X’s

Conditional Logistic Regression

Probit Analysis

Michaelis-Menten Parameters

Mendelian Randomization

Reference Intervals

ROC

Simulation

Data Simulator

Correlation

Means

One Mean

Paired Means

Two Independent Means

Many Means (ANOVA)

Group-Sequential

Normality Tests

Proportions

Quality Control

Survival

Variances

Superiority by a Margin

Means

Proportions

Rates and Counts

Survival

Survival

One Survival Curve

Two Survival Curves

Test (Inequality)

Non-Inferiority

Superiority by a Margin

Equivalence

Group-Sequential

Competing Risks

Cluster-Randomized

Conditional Power

Cox Regression

Exponential Means

Confidence Intervals

Probit Analysis

Legacy Procedures

Tools

Tolerance Intervals

Variances

One Standard Deviation

One Variance

Two Variances

Many Variances

Tools

Plots

References

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