Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation

BACKGROUND: Missing values are a frequent issue in human studies. In many situations, multiple imputation (MI) is an appropriate missing data handling strategy, whereby missing values are imputed multiple times, the analysis is performed in every imputed data set, and the obtained estimates are pool...

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Detalles Bibliográficos
Autores principales: Wahl, Simone, Boulesteix, Anne-Laure, Zierer, Astrid, Thorand, Barbara, Avan de Wiel, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080703/
https://www.ncbi.nlm.nih.gov/pubmed/27782817
http://dx.doi.org/10.1186/s12874-016-0239-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080703/
https://www.ncbi.nlm.nih.gov/pubmed/27782817
http://dx.doi.org/10.1186/s12874-016-0239-7

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