Power and sample size for multivariate logistic modeling of unmatched case-control studies
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Updated: Feb 18, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Mitchell H Gail1, Sebastien Haneuse2
11 Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Abstract:
Sample size calculations are needed to design and assess the feasibility of case-control studies. Although such calculations are readily available for simple case-control designs and univariate analyses, there is limited theory and software for multivariate unconditional logistic analysis of case-control data. Here we outline the theory needed to detect scalar exposure effects or scalar interactions while controlling for other covariates in logistic regression. Both analytical and simulation methods are presented, together with links to the corresponding software.
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