PASS 2025 Update

Use the button(s) below to download the PASS 2025 installation file. If PASS 2025 is not yet installed on your computer, this will install the full version. If you already have PASS 2025 installed, this will update your current installation to the newest version. Your personal files will not be affected.

Go to Download Page Now  

Current Version: 25.0.3
Released: July 11, 2025

Click here for minimum System Requirements

Update Release Notes

This page lists the changes that have been made to PASS 2025 since it was released.

Version: 25.0.3

Released: July 11, 2025

1. Corrected a display issue with the Procedure Window. In some cases when the Procedure Window was scrolled, changing an option in a dropdown box would cause the window inputs to misalign and appear crammed at the top of the window. This has been corrected.

2. Corrected an error in Logrank Tests with Non-Proportional Hazards (Lakatos and Wu), Weighted Logrank Tests with Non-Proportional Hazards (Lakatos and Wu), and Logrank Tests with Proportional Hazards (Freedman and Wu). In all three procedures, when the hazard ratio was greater than 1, the power was computed incorrectly, resulting in no output when solving for sample size.

Version: 25.0.2

Released: March 10, 2025

1. Corrected an error in the Tests for Two Groups using the Win-Ratio Composite Endpoint procedure. When solving for sample size with Group Allocation set to "Enter N1, solve for N2", the resulting group sample size (N2) was too large. This has been corrected.

2. Corrected an error that caused Message Boxes to appear behind other windows in some cases, so that they could not be seen.

Version: 25.0.1

Released: January 20, 2025

1. Initial Release of PASS 2025

Your support is always amazing. I also run [another statistical software package] and on a support / admin basis you guys are way ahead.

Neale Penman, Researcher

"PASS is a great program. It does so much and is easy to use. It’s much better than the other sample size programs I’ve used—it has helped me greatly in my research."

Ken Lawson, Ph.D., The University of Texas