# PASS Upgrade Information

## What’s New in PASS 14?

We are pleased to announce the release of PASS 14. PASS 14 adds **over 25 new power and sample size procedures**, including 13 means procedures, 3 rates and counts procedures, 3 survival analysis procedures, 5 regression procedures, and 2 acceptance sampling procedures. **Over 45 procedures were updated and/or improved** as well.

## New Procedures in PASS 14

### 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

## Updated and/or Improved Procedures 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)

## Compatibility of PASS 14

**PASS 14** is fully compatible with Windows 10, 8.1, 8, 7, Vista, and XP on both 32-bit and 64-bit operating systems. Click here to view the complete system requirements.

## Prices

Upgrade from PASS 13:

$249 (academic/government)

$279 (commercial)

Upgrade from PASS 12 or PASS 11*:

$495 (academic/government)

$595 (commercial)

*Older versions (e.g. PASS 2008, PASS 2005, PASS 2002, PASS 2000, and PASS 6.0) are not upgradeable. You’ll need to purchase a new license to get PASS 14.

Click here to view the complete price list.

## Ordering

To order your upgrade, call us at 1-800-898-6109 (US only) or (801) 546-0445, fax us at (801) 546-3907, email us at sales@ncss.com, or order from our secure online store.

## Documentation

PDF versions of the documentation are available directly from each procedure window. These may be displayed or printed. The documentation is also available in the help system or online by clicking here.

## Features added in the PASS 13 Upgrade from PASS 12

- 3D Power and Sample Size Plots
- Multiple Value Selection Improvements
- Help Center and Video Help Expansion
- Two-Sample Sample Size Group Allocation Enhancements

### 3D Power and Sample Size Plots

### Multiple Value Selection Improvements

### Help Center and Video Help Expansion

## Procedures added in the PASS 13 Upgrade from PASS 12

PASS 13 added over 25 new power and sample size procedures, including one-way tests (3), variance tests (5), correlation tests (5), correlation confidence intervals (4), exponential distribution parameter confidence intervals (4), quality control (2), Coefficient (Cronbach’s) Alpha confidence interval (1), Kappa confidence interval (1), area under an ROC curve confidence interval (1), Michaelis-Menten parameters confidence intervals (1), and tests for two means in a multicenter randomized design (1).

### One-way Tests of Mean or Center

- Kruskal-Wallis Tests (Simulation)
- Terry-Hoeffding Normal-Scores Tests of Means (Simulation)
- Van der Waerden Normal Quantiles Tests of Means (Simulation)

### Variance Tests

- Bartlett Test of Variances (Simulation)
- Levene Test of Variances (Simulation)
- Brown-Forsythe Test of Variances (Simulation)
- Conover Test of Variances (Simulation)
- Power Comparison of Tests of Variances (Simulation)

### Correlation Tests

- Pearson’s Correlation Tests (Simulation)
- Spearman’s Rank Correlation Tests (Simulation)
- Kendall’s Tau-b Correlation Tests (Simulation)
- Point Biserial Correlation Tests
- Power Comparison of Correlation Tests (Simulation)

### Correlation Confidence Intervals

- Confidence Intervals for Spearman’s Rank Correlation
- Confidence Intervals for Kendall’s Tau-b Correlation
- Confidence Intervals for Point Biserial Correlation
- Confidence Intervals for Intraclass Correlation

### Exponential Distribution Parameter Confidence Intervals

- 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

### Quality Control

- Confidence Intervals for Cp
- Confidence Intervals for Cpk

### Other

- Tests for Two Means in a Multicenter Randomized Design
- Confidence Intervals for Michaelis-Menten Parameters
- Confidence Intervals for the Area Under an ROC Curve
- Confidence Intervals for Kappa
- Confidence Intervals for Coefficient Alpha

## Procedures added in the PASS 12 Upgrade from PASS 11

PASS 12 added over 15 new power and sample size procedures, including z tests (3), conditional power (6), repeated measures (2), non-inferiority logrank (2), equivalence logrank (2), Lin’s concordance coefficient (1), probit analysis (1), and competing risks (1).

### Conditional Power

- Conditional Power of One-Sample T-Tests
- Conditional Power of Two-Sample T-Tests
- Conditional Power of Paired T-Tests
- Conditional Power of 2×2 Cross-Over Designs
- Conditional Power of Logrank Tests
- Conditional Power of One-Proportions Tests
- Conditional Power of Two-Proportions Tests

### Z-Test

- Two-Sample Z-Test Assuming Equal Variances
- Two-Sample Z-Test Allowing Unequal Variances

### Survival Analysis

- Test for Two Survival Curves using Cox Regression
- Non-Inferiority Test for Two Survival Curves using Cox Regression
- Equivalence Test for Two Survival Curves using Cox Regression
- Superiority Test for Two Survival Curves using Cox Regression
- Test for Difference of Two Hazard Rates Assuming an Exponential Model
- Non-Inferiority Test for Difference of Two Hazard Rates Assuming an Exponential Model
- Equivalence Test for Difference of Two Hazard Rates Assuming an Exponential Model
- Superiority Test for Comparing Hazard Rates assuming Exponential Data
- Logrank Test Accounting for Competing Risks

### Other

- Lin’s Concordance Correlation Coefficient
- Probit Analysis
- Test for Comparing Mean Change Score in Pre-Post Design
- Confidence Interval for a Proportion from a Finite Population

### Revised and Simplified

- Repeated Measures Analysis
- MANOVA
- Two-Sample T-Test Assuming Equal Variances
- Two-Sample T-Test with Unequal Variances
- Mann-Whitney-Wilcoxon Test

## Features added in the PASS 11 Upgrade from PASS 2008

PASS 11 added 17 new power and sample size procedures and features to PASS, including procedures for analysis of covariance, group-sequential testing, sensitivity and specificity, Poisson means testing, tests for two ordered categorical variables, Williams test for the minimum effective dose, Control Charts, an enhanced user interface, increased computation speed, and an improved graphics system.

## New Procedures in the PASS 11 Upgrade from PASS 2008

- Analysis of Covariance (ANCOVA)
- Group-Sequential Tests for Two Means using Simulation
- Group-Sequential Non-Inferiority Tests for Two Means using Simulation
- Group-Sequential Tests for Two Proportions using Simulation
- Group-Sequential Non-Inferiority Tests for Two Proportions using Simulation
- Group-Sequential Logrank Tests using Simulation
- Sensitivity and Specificity Tests for One Group
- Tests for Independent Sensitivities of Two Groups
- Tests for Paired Sensitivities
- Tests for One Poisson Mean
- Tests for Two Poisson Means
- Tests for Two Ordered Categorical Variables
- Williams Test for the Minimum Effective Dose
- Control Charts for Process Means
- Control Charts for Process Variation