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Article

The hidden factor: accounting for covariate effects in power and sample size computation for a binary trait.

Bioinformatics (Oxford, England) - 3 Apr 2023

Zhang Ziang, Sun Lei

Abstract excerpt

MOTIVATION: Accurate power and sample size estimation is crucial to the design and analysis of genetic association studies. When analyzing a binary trait via logistic regression, important covariates such as age and sex are typically included in the model. However, their effects are rarely properly considered in power or sample size computation during study planning. Unlike when analyzing a continuous trait, the...

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PMID: 36943372
DOI: 10.1093/bioinformatics/btad139
PMCID: PMC10070038

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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