Work

Power and sample size for multivariate logistic modeling of unmatched case-control studies

Year: 2017

Type: article

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.

Source: Statistical Methods in Medical Research

DOI: 10.1177/0962280217737157

Authors: Mitchell H Gail, Sebastien Haneuse

Institutions: Division of Cancer Epidemiology and Genetics, Harvard University

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute