Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines

BACKGROUND: Multiple imputation (MI) provides an effective approach to handle missing covariate data within prognostic modelling studies, as it can properly account for the missing data uncertainty. The multiply imputed datasets are each analysed using standard prognostic modelling techniques to obt...

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Detalles Bibliográficos
Autores principales: Marshall, Andrea, Altman, Douglas G, Holder, Roger L, Royston, Patrick
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727536/
https://www.ncbi.nlm.nih.gov/pubmed/19638200
http://dx.doi.org/10.1186/1471-2288-9-57

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727536/
https://www.ncbi.nlm.nih.gov/pubmed/19638200
http://dx.doi.org/10.1186/1471-2288-9-57

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