The R Journal: accepted article

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PASSED: Calculate Power and Sample Size for Two Sample Tests PDF download
Jinpu Li, Ryan P. Knigge, Kaiyi Chen and Emily V. Leary

Abstract Power and sample size estimation are critical aspects in study design to demonstrate minimized risk for subjects and to justify the allocation of time, money, and other resources. Researchers often work with response variables which 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. The relevant statistical theory, calculations, and examples for each distribution using PASSED are discussed in this paper.

Received: 2021-02-08; online 2021-10-19, supplementary material, (1.6 Kb)
CRAN packages: PASSED, samplesize, TrialSize, simglm, stats, pwr, MESS, pwr2ppl, WebPower, MKmisc
CRAN Task Views implied by cited CRAN packages: ClinicalTrials

CC BY 4.0
This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

  author = {Jinpu Li and Ryan P. Knigge and Kaiyi Chen and Emily V.
  title = {{PASSED: Calculate Power and Sample Size for Two Sample Tests}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-094},
  url = {}