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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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Bibliografische gegevens
Hoofdauteurs: Qi, Lihong, Wang, Ying-Fang, He, Yulei
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2010
Onderwerpen:
Online toegang: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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