A simple pooling method for variable selection in multiply imputed datasets outperformed complex methods

BACKGROUND: For the development of prognostic models, after multiple imputation, variable selection is advised to be applied from the pooled model. The aim of this study is to evaluate by using a simulation study and practical data example the performance of four different pooling methods for variab...

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Detalles Bibliográficos
Autores principales: Panken, A. M., Heymans, M. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351113/
https://www.ncbi.nlm.nih.gov/pubmed/35927610
http://dx.doi.org/10.1186/s12874-022-01693-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351113/
https://www.ncbi.nlm.nih.gov/pubmed/35927610
http://dx.doi.org/10.1186/s12874-022-01693-8

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