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. The relevant statistical theory, calculations, and examples for each distribution using PASSED are discussed in this paper.
PASSED, samplesize, TrialSize, simglm, stats, pwr, MESS, pwr2ppl, WebPower, MKmisc
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For attribution, please cite this work as
Li, et al., "PASSED: Calculate Power and Sample Size for Two Sample Tests", The R Journal, 2021
BibTeX citation
@article{RJ-2021-094,
author = {Li, Jinpu and Knigge, Ryan P. and Chen, Kaiyi and Leary, Emily V.},
title = {PASSED: Calculate Power and Sample Size for Two Sample Tests},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-094},
doi = {10.32614/RJ-2021-094},
volume = {13},
issue = {2},
issn = {2073-4859},
pages = {542-560}
}