PASSED: Calculate Power and Sample Size for Two Sample Tests

Jinpu Li, Ryan P. Knigge, Kaiyi Chen, Emily V. Leary

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Power and sample size estimation are critical aspects of study design to demonstrate minimized risk for subjects and justify the allocation of time, money, and other resources. Researchers often work with response variables that take the form of various distributions. Here, we present an R package, PASSED, that allows flexibility with seven common distributions and multiple options to accommodate sample size or power analysis.

Original languageEnglish (US)
Pages (from-to)542-560
Number of pages19
JournalR Journal
Issue number2
StatePublished - 2021

Bibliographical note

Funding Information:
The authors gratefully acknowledge Dr. Richard Madsen, Professor Emeritus of Statistics University of Missouri - Columbia, for his contribution and interest in this topic. Funding for this project was provided by NIH R34AR074209A (Co-I Leary) and the Thompson Laboratory for Regenerative Orthopaedics, University of Missouri - Columbia.

Publisher Copyright:
© 2021,R Journal.All Rights Reserved


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