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A Comparison of Multiple Imputation and Fully Augmented Weighted Estimators for Cox Regression with Missing Covariates

Several approaches exist for handling missing covariates in the Cox proportional hazards model. The multiple imputation (MI) is relatively easy to implement with various software available and results in consistent estimates if the imputation model is correct. On the other hand, the fully augmented...

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Библиографические подробности
Главные авторы: Qi, Lihong, Wang, Ying-Fang, He, Yulei
Формат: Artigo
Язык:Inglês
Опубликовано: 2010
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4022355/
https://ncbi.nlm.nih.gov/pubmed/20806403
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4016
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