Variable selection under multiple imputation using the bootstrap in a prognostic study

BACKGROUND: Missing data is a challenging problem in many prognostic studies. Multiple imputation (MI) accounts for imputation uncertainty that allows for adequate statistical testing. We developed and tested a methodology combining MI with bootstrapping techniques for studying prognostic variable s...

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Detalles Bibliográficos
Autores principales: Heymans, Martijn W, van Buuren, Stef, Knol, Dirk L, van Mechelen, Willem, de Vet, Henrica CW
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1945032/
https://www.ncbi.nlm.nih.gov/pubmed/17629912
http://dx.doi.org/10.1186/1471-2288-7-33

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1945032/
https://www.ncbi.nlm.nih.gov/pubmed/17629912
http://dx.doi.org/10.1186/1471-2288-7-33

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