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Variable selection in the presence of missing data: resampling and imputation

In the presence of missing data, variable selection methods need to be tailored to missing data mechanisms and statistical approaches used for handling missing data. We focus on the mechanism of missing at random and variable selection methods that can be combined with imputation. We investigate a g...

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Detalles Bibliográficos
Publicado en:Biostatistics
Main Authors: Long, Qi, Johnson, Brent A.
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2015
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5156376/
https://ncbi.nlm.nih.gov/pubmed/25694614
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv003
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