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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...

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Detalles Bibliográficos
Autores principales: Williams, David Keith, Bursac, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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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