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Multiple Imputation in Survival Models: Applied on Breast Cancer Data

BACKGROUND: Missing data is a common problem in cancer research. While simple methods such as completecase (C-C) analysis are commonly employed for handling this problem, several studies have shown that these methods led to biased estimates. We aim to address the methodological issues in development...

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Détails bibliographiques
Auteurs principaux: Baneshi, M R, Talei, A R
Format: Artigo
Langue:Inglês
Publié: Kowsar 2011
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Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3371994/
https://ncbi.nlm.nih.gov/pubmed/22737525
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