Does the Missing Data Imputation Method Affect the Composition and Performance of Prognostic Models?

BACKGROUND: We already showed the superiority of imputation of missing data (via Multivariable Imputation via Chained Equations (MICE) method) over exclusion of them; however, the methodology of MICE is complicated. Furthermore, easier imputation methods are available. The aim of this study was to c...

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Detalles Bibliográficos
Autores principales: Baneshi, M R, Talei, A R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2012
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372019/
https://www.ncbi.nlm.nih.gov/pubmed/22737551

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372019/
https://www.ncbi.nlm.nih.gov/pubmed/22737551

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