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PASS 15 versions & prices
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NCSS PASS is one of the leading software tools for the design of medical trials and pharmaceutical or medical research in general. PASS provides the right methods for the power analysis of over 680 different statistical tests, confidence intervals and research scenarios.

Fast import of historical data – even in foreign data formats – and the simple interface help you focusing on the real problem: determining just the right sample size for your study.

Getting the right sample size involves just three steps:

  1. Choose the right study design from the navigator
  2. Enter the required parameters (typically: noise/standard deviation, relevant effect)
  3. Interpretation of results (Power, sample size)

That’s how easy NCSS PASS makes power calculation. All results will be visualized by high-level scientific graphs. All graphs are highly customizable and will add an additional level of clarity to your reports.

NCSS PASS offers:

  • Calculation of sample size and power
  • Validated procedures
  • Easy to learn, easy to use
  • Professional graphics
  • Helpful documentation as part of the output
  • Easy export to all commonly used text editors

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PASS - Power Analysis & Sample Size Software

PASS has been fine-tuned for over 20 years, and has become 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. PASS software performs power analysis and calculates sample sizes for over 680 statistical tests.

PASS Overview

PASS is a standalone system
Although it is integrated with NCSS, you do not have to own NCSS to run it. You can use it with any statistical software you want.

PASS is accurate
It has been extensively verified using books and reference articles. Proof of the accuracy of each procedure is included in the extensive documentation.

PASS comes with complete help system documentation
That contains tutorials, examples, annotated output, references, formulas, validation, and complete instructions on each procedure. All procedures are validated with published articles or books.

Choose PASS. It's more comprehensive, easier-to-use, accurate, and less expensive than any other sample size program on the market.


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.

Obtaining a Sample Size in PASS

Choosing a Procedure in PASS

Choosing A Procedure
Finding the sample size procedure is easy using the drop-down menu, the procedure search, or the category tree.


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

Sample Size tools in PASS

Ready to Use Output
When a PASS procedure is run the results 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. Multiple output runs can be sent to the output gallery for saving or for comparing sample size analyses.

Further Information

Trial version of the software PASS

The Producer (NCSS) provides a free trial version of the software. The trial version is 7-day's long usable without any restrictions in it's features and/or functions. The license key for the trialversion can be upgraded to a full version, after purchasing an appropriate license. So there is no struggle with reinstallation or re-registrations of licenses.

You can access the trial version on the website of the producer, just click on the following link: http://www.ncss.com/download/pass/free-trial/

System Requirements for the Software PASS

  Windows®
Further Requirements
  • Microsoft .NET 3.5 SP1
  • Microsoft Windows Installer 3.1 or higher
  • Adobe Reader 7 or higher is requiered for the NCSS-Helpsystem
  • Administrative rights required during installation only
Operating System Windows XP, Vista, 7, 8, 10 (32-/64-Bit)
Windows Server 2003, 2008, 2008 R2, 2012, 2012 R2
Min. CPU 450 MHz or higher
Min. RAM 256 MB
Disc Space 120 MB

Pass on MAC OS X

A Windows emulator (such as Parallels) is required to run PASS on a Mac!

New Features in PASS 14

PASS 14 adds over 25 new power and sample size procedures. Over 45 procedures were updated and/or improved.

New Procedures

Means

  • Equivalence Tests for the Difference Between Two Paired Means
  • Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
  • Equivalence Tests for Two Means in a Cluster-Randomized Design
  • Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
  • Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
  • Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
  • Tests for Fold Change of Two Means
  • MxM Cross-Over Designs
  • M-Period Cross-Over Designs using Contrasts
  • One-Way Repeated Measures
  • One-Way Repeated Measures Contrasts
  • One-Way Analysis of Variance Contrasts
  • Confidence Intervals for One-Way Repeated Measures Contrasts

Rates and Counts

  • Tests for the Difference Between Two Poisson Rates
  • Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design
  • Tests for the Ratio of Two Negative Binomial Rates

Survival

  • Logrank Tests in a Cluster-Randomized Design
  • One-Sample Logrank Tests
  • One-Sample Cure Model Tests

Regression

  • Reference Intervals for Clinical and Lab Medicine
  • Tests for the Difference Between Two Linear Regression Slopes
  • Tests for the Difference Between Two Linear Regression Intercepts
  • Mendelian Randomization with a Binary Outcome
  • Mendelian Randomization with a Continuous Outcome

Acceptance Sampling

  • Acceptance Sampling for Attributes
  • Operating Characteristic Curves for Acceptance Sampling for Attributes

Verbesserte oder Veränderte Prozeduren in PASS 14

Means

  • Tests for Two Means using Ratios
  • Tests for Two Means in a Cluster-Randomized Design
  • Non-Inferiority Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
  • Non-Inferiority Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
  • Equivalence Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
  • Equivalence Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
  • Superiority by a Margin Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
  • Superiority by a Margin Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
  • One-Way Analysis of Variance F-Tests

Rates and Counts

  • Tests for One Poisson Rate
  • Tests for the Ratio of Two Poisson Rates

Proportions

  • Tests for One Proportion
  • Non-Inferiority Tests for One Proportion
  • Equivalence Tests for One Proportion
  • Superiority by a Margin Tests for One Proportion
  • Tests for Two Proportions
  • Tests for Two Proportions in a Repeated Measures Design
  • Non-Inferiority Tests for the Difference Between Two Proportions
  • Non-Inferiority Tests for the Ratio of Two Proportions
  • Non-Inferiority Tests for the Odds Ratio of Two Proportions
  • Equivalence Tests for the Difference Between Two Proportions
  • Equivalence Tests for the Ratio of Two Proportions
  • Equivalence Tests for the Odds Ratio of 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
  • Confidence Intervals for the Difference Between Two Proportions
  • Confidence Intervals for the Ratio of Two Proportions
  • Confidence Intervals for the Odds Ratio of Two Proportions
  • Tests for Two Correlated Proportions (McNemar Test)
  • Non-Inferiority Tests for the Difference Between Two Correlated Proportions
  • Non-Inferiority Tests for the Ratio of Two Correlated Proportions
  • Equivalence Tests for the Difference Between Two Correlated Proportions
  • Equivalence Tests for the Ratio of Two Correlated Proportions
  • Tests for Two Proportions in a Cluster-Randomized Design
  • Non-Inferiority Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Non-Inferiority Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
  • Equivalence Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Equivalence Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
  • Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
  • Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
  • Group-Sequential Tests for Two Proportions (Simulation)
  • Group-Sequential Non-Inferiority Tests for the Difference of Two Proportions (Simulation)
  • Group-Sequential Non-Inferiority Tests for the Ratio of Two Proportions (Simulation)
  • Group-Sequential Non-Inferiority Tests for the Odds Ratio of Two Proportions (Simulation)
  • Group-Sequential Superiority by a Margin Tests for the Difference of Two Proportions (Simulation)
  • Group-Sequential Superiority by a Margin Tests for the Ratio of Two Proportions (Simulation)
  • Group-Sequential Superiority by a Margin Tests for the Odds Ratio of Two Proportions (Simulation)