Literature DB >> 9384657

Multiple imputation for the Cox proportional hazards model with missing covariates.

M C Paik1.   

Abstract

We present three multiple imputation estimates for the Cox model with missing covariates. Two of the suggested estimates are asymptotically equivalent to estimates in the literature when the number of multiple imputations approaches infinity. The third estimate can be implemented using standard software that could handle time-varying covariates.

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Year:  1997        PMID： 9384657     DOI： 10.1023/a:1009657116403

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN： 1380-7870            Impact factor:   1.588


  4 in total

1.  A Bayesian proportional hazards regression model with non-ignorably missing time-varying covariates.

Authors:  Patrick T Bradshaw; Joseph G Ibrahim; Marilie D Gammon
Journal:  Stat Med       Date:  2010-10-20       Impact factor: 2.373

2.  A comparison of multiple imputation and fully augmented weighted estimators for Cox regression with missing covariates.

Authors:  Lihong Qi; Ying-Fang Wang; Yulei He
Journal:  Stat Med       Date:  2010-11-10       Impact factor: 2.373

3.  A calibrated Bayesian method for the stratified proportional hazards model with missing covariates.

Authors:  Soyoung Kim; Jae-Kwang Kim; Kwang Woo Ahn
Journal:  Lifetime Data Anal       Date:  2022-01-16       Impact factor: 1.588

4.  Maximum Likelihood Inference for the Cox Regression Model with Applications to Missing Covariates.

Authors:  Ming-Hui Chen; Joseph G Ibrahim; Qi-Man Shao
Journal:  J Multivar Anal       Date:  2009-10-01       Impact factor: 1.473
  4 in total

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