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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Hlavní autoři: Baneshi, M R, Talei, A R
Médium: Artigo
Jazyk:Inglês
Vydáno: Kowsar 2012
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Original Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3372019/
https://ncbi.nlm.nih.gov/pubmed/22737551
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