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Three algorithms and SAS macros for estimating power and sample size for logistic models with one or more independent variables of interest in the presence of covariates
BACKGROUND: Commonly when designing studies, researchers propose to measure several independent variables in a regression model, a subset of which are identified as the main variables of interest while the rest are retained in a model as covariates or confounders. Power for linear regression in this...
Autores principales: | Williams, David Keith, Bursac, Zoran |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414303/ https://www.ncbi.nlm.nih.gov/pubmed/25926866 http://dx.doi.org/10.1186/1751-0473-9-24 |
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