Cargando…
Purposeful selection of variables in logistic regression
BACKGROUND: The main problem in many model-building situations is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a variable in the model might be based on the clinical or statistical significance. There are several variable se...
Autores principales: | Bursac, Zoran, Gauss, C Heath, Williams, David Keith, Hosmer, David W |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2633005/ https://www.ncbi.nlm.nih.gov/pubmed/19087314 http://dx.doi.org/10.1186/1751-0473-3-17 |
Ejemplares similares
-
Applied logistic regression /
por: Hosmer, David W.
Publicado: (2000) -
Applied logistic regression
por: Hosmer, David W, et al.
Publicado: (2013) -
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
por: Williams, David Keith, et al.
Publicado: (2014) -
Bayesian variable selection logistic regression with paired proteomic measurements
por: Kakourou, Alexia, et al.
Publicado: (2018) -
Logistic regression : a self-learning text /
por: Kleinbaum, David G.
Publicado: (2002)