PASS: Power Analysis and Sample Size Procedures

Following is a comprehensive list of all power analysis and sample size procedures that are available in the latest release of PASS. If you would like to see full details on a procedure, we suggest that you download the trial version and look at the Help file.

Means - 1 or 2 Groups
Cluster randomization
Confidence Intervals
Equivalence tests
Exponential means
Finite populations
Group sequential
Group-Sequential Tests for Two Means using Simulation
Group-Sequential Non-Inferiority Tests for Two Means using Simulation
Hotelling's T-Squared
Inequality tests
Longitudinal Time-Averaged Differencing - Two Means
Mann-Whitney test
Microarray One-Sample/Paired T-Tests
Microarray Two-Sample T-Tests
Non-inferiority tests
Non-normal data
One Poisson Mean
One-Sample t-test
One Variance
Paired t-test
Simulation
T-tests
Trimmed mean test
Two-Sample t-test
Two Poisson Means
Variances unequal
Welch’s test
Wilcoxon test

Means - Correlated or Paired
Equivalence tests
Inequality tests
Non-inferiority tests
Non-normal data
Simulation

Means - Cross-Over Designs
2x2 designs
Balaam’s design
Equivalence tests
Higher-order designs
Inequality tests
Non-inferiority tests

Means - Many (ANOVA)
Analysis of Covariance (ANCOVA)Contrasts
Control Charts for Process Means
Dunn-Bonferroni test
Dunn-Welch test
Dunnett’s test
Geisser-Greenhouse
Kruskal-Wallis test
Latin square
MANOVA
Mixed Models
Multiple comparisons
Multiple contrasts
Non-normal data
One-way ANOVA
Pair-wise comparisons
Planned comparisons
Randomized block ANOVA
Repeated measures ANOVA
Simulation
Split plot design
Treatments vs. control comparisons
Two-way ANOVA
Three-way ANOVA
Williams Test for the Minimum Effective Dose

Survival Analysis
Cox regression
Exponential means (1 or 2)
Group sequential tests
Group-Sequential Logrank Tests using Simulation
Logrank (Survival) Tests
Logrank Non-Inferiority Tests

Variances
Confidence Intervals - SD/Variance
Control Charts for Process Variation
Testing one
Testing two

ROC Curves
Testing one
Testing two
Sensitivity and Specificity Tests for One Group
Tests for Independent Sensitivities of Two Groups
Tests for Paired Sensitivities

Equivalence
Correlated proportions
Cross-over designs
One mean
One proportion
Two means
Two proportions
Paired means
Paired proportions

Normality Tests
Anderson-Darling
Kolmogorov-Smirnov
Kurtosis
Martinez-Iglewicz
Omnibus
Range/SD
Shapiro-Wilk
Skewness

Confidence Intervals
Means
Proportions
Regression Slope
Standard Deviation/Variance
Correlation

Proportion - 1 Group
Binomial test
Confidence Intervals
Difference
Equivalence tests
Exact test
Finite populations
Inequality tests
Non-inferiority tests
Odds ratio
One-stage design
Post-marketing surveillance
Ratio
Simon’s two-stage designs
Three-stage design
Z tests

Proportions - 2 Groups
Cluster-randomization designs
Cochran test
Confidence Intervals
Equivalence tests
Difference tests
Farrington-Manning test
Fisher’s exact test
Gart-Nam test
Goodness-of-fit
Group sequential test
Group-Sequential Tests for Two Proportions using Simulation
Group-Sequential Non-Inferiority Tests for Two Proportions using Simulation
Inequality tests
Likelihood ratio test
Likelihood score test
Longitudinal Time-Averaged Differencing - Two Proportions
Mantel-Haenszel test
Matched case/control
Miettinen-Nurminen test
Non-inferiority tests
Odds ratio tests
Ratio tests
Score tests
Z tests

Proportions - Correlated or Paired
Equivalence tests
Inequality tests
McNemar’s test
Non-inferiority tests

Proportion - Many Groups
Chi-square tests
Contingency tables
Goodness-of-fit
Multinomial test
Tests for Two Ordered Categorical Variables

Regression/Correlation
Coefficient alpha
Confidence Intervals - Correlation
Confidence Intervals - Regression Slope
Correlation coefficient
Cox regression
Cronbach’s alpha
Intraclass correlation
Kappa Test for Agreement Between Two Raters
Linear regression
Logistic regression-binary
Logistic regression-normal
Multiple regression
One correlation
Poisson regression
Two correlations

Non-Inferiority
Correlated proportions
Cross-over designs
One mean
One proportion
Two means
Two Means using Simulation
Two proportions
Two Proportions using Simulation
Paired means
Paired proportions

Group Sequential Tests
Alpha spending functions
Lan-DeMets approach
Mean tests
Tests for Two Means using Simulation
Non-Inferiority Tests for Two Means using Simulation
Proportion tests
Tests for Two Proportions using Simulation
Non-Inferiority Tests for Two Proportions using Simulation
Log-rank tests
Logrank Tests using Simulation

Special Calculators
Odds ratio
Probability
Sigma/Variance
Chi-square

Design of Experiments
Balanced Incomplete Block Designs
D-Optimal Designs
Design Generator
Fractional Factorial Designs
Latin Square Designs
Randomization Lists
Response Surface Designs> Screening Designs
Taguchi Designs
Two-Level Designs

Quality Control
Control Charts for Process Means
Control Charts for Process Variation

Download a 7-day Trial Copy of PASS 11

Use Evaluation Serial Number "TRYPASS11"

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PASS 11
Now Available

We are pleased to announce the availability of PASS 11. This edition adds over 17 new procedures and features to PASS.

Click here for pricing.

Read about what’s new in
PASS 11.

"Researchers seeking software to determine sample size have a wide range of choices... Researchers seeking a comprehensive, commercial program for analysis of statistical power and precision should consider PASS 2008."

- Patrick Dattalo
"A Review of Software for Sample Size Determination"
Eval Health Prof, 2009.

Click here for the complete list of procedures.

Download a
PASS Update

Most Recent Version:
PASS 11
Version 11.0.8
Released December 2, 2011

What problems have been fixed by recent PASS 11 updates?

PASS Training Course

A 4-week, online course on sample size and power, featuring PASS, is now being offered through statistics.com. The course is taught by Dr. Thomas P. Ryan.

Click here for more information.


Minimum System Requirements Click on one of the links below to view the minimum system requirements for NCSS and PASS products: PASS 11 PASS 2008 NCSS 2007 Previous Versions	Accuracy We at NCSS have put a great deal of effort into finding the most accurate algorithms possible. The programs have been tested and verified over and over, both by us and by our customers. Each routine has been verified against textbooks, journal articles, and, where possible, other software. NCSS and PASS are some of the most accurate statistical analysis programs available. NCSS and PASS calculate with seventeen-digit, double-precision accuracy.	Guarantee If you are not completely satisfied with an NCSS product during the first 30 days for any reason, return the program for a full, prompt refund (excluding shipping).

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