Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research

BACKGROUND: Multiple imputation is becoming increasingly popular. Theoretical considerations as well as simulation studies have shown that the inclusion of auxiliary variables is generally of benefit. METHODS: A simulation study of a linear regression with a response Y and two predictors X(1) and X(...

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Detalles Bibliográficos
Autores principales: Hardt, Jochen, Herke, Max, Leonhart, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538666/
https://www.ncbi.nlm.nih.gov/pubmed/23216665
http://dx.doi.org/10.1186/1471-2288-12-184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538666/
https://www.ncbi.nlm.nih.gov/pubmed/23216665
http://dx.doi.org/10.1186/1471-2288-12-184

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