PASS software provides sample size tools for over 1030 statistical test and confidence interval scenarios - more than double the capability of any other sample size software. Each tool has been carefully validated with published articles and/or texts.

Sample Size Calculation Software Macros

Get to know PASS by downloading a free trial, viewing the video to the right, or exploring this website.

PASS comes complete with integrated documentation and PhD statistician support.

In the case of small-scale running events with N = By adding the required minimum sample size for each category of running events (2.323 + 2. 351 + 2. 363 = 2074), a grand total sample size of. A-priori Sample Size Calculator for Student t-Tests. This calculator will tell you the minimum required total sample size and per-group sample size for a one-tailed or two-tailed t-test study, given the probability level, the anticipated effect size, and the desired statistical power level. Sample Size and Power Calculations for Microarray Studies This website has been prepared to assist users in computing either a sample size or power value for a microarray experimental study. The user is referred to the cited references for technical background on the methodology underpinning these calculations.

PASS has been fine-tuned for over 20 years, and is now the leading sample size software choice for clinical trial, pharmaceutical, and other medical research. It has also become a mainstay in all other fields where sample size calculation or evaluation is needed.

Obtaining A Sample Size In PASS

In PASS, you can estimate the sample size for a statistical test or confidence interval in a few short steps. If you need guidance during any of the steps, PASS has excellent documentation, there are free training videos, and you can contact our team of PhD statisticians.

Choosing A Procedure

Finding the sample size procedure is easy using the drop-down menu, the procedure search, or the category tree. Watch a short video to learn how to select your desired procedure in PASS.

Enter The Values

The sample size procedure tools are easy to use and have built-in help messages for every option.

Enlarge the infographic to see the descriptions of the ways that PASS helps you to enter the proper values in a sample size procedure tool. You can also watch this video to see an example of using a procedure window in PASS.

Ready to Use Output

When a PASS procedure is run, the sample size results and corresponding plots are displayed in the output window. The sample size or power curves can be clicked to be shown in a separate window for viewing or saving.

Navigation of the output is easy with the output navigation tree. The format of the output makes it easy to be viewed, copied and pasted, or saved. Multiple output runs can be sent to the output gallery for saving or for comparing sample size analyses.

To take a video tour of the output window in PASS, click here.

Publications Citing PASS

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This website has been prepared to assist users in computing either a sample size or power value for a microarray experimental study. The user is referred to the cited references for technical background on the methodology underpinning these calculations. This site provides support for five types of sample size and power calculations as listed below. These five types can be adapted in various ways to encompass many of the standard designs encountered in practice. Click on the design to open the computational routine. Click on 'example' to see explanations and examples of each type, drawn from Lee (2004).

Sample Size Calculations for

Completely randomized treatment-control designs (example)
Matched-pairs designs (i.e. randomized block designs) (example)

Power Calculations for

Completely randomized treatment-control designs (example)
Matched-pairs designs (i.e. randomized block designs) (example)
Multiple-treatment designs having an isolated treatment effect (example)

Cited References

Sample Size Calculation Software Machine Learning

Lee, M.-L. T. (2004). Analysis of Microarray Gene Expression Data, Kluwer Academic Publishers, ISBN 0-7923-7087-2.
Lee, M.-L. T., Whitmore, G. A. (2002). Power and sample size for DNA microarray studies, Statistics in Medicine, 21:3543-3570

Acknowledgements

Sample Size Calculation Software Mac

This project was support by NIH grant HG02510 (Lee, M-L.T.). The computer routines supporting this website have been developed and are maintained by Dr. Weiliang Qiu, Assistant Professor, Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston.