Imputation methods for informative censoring in survival analysis with time dependent covariates

Cox proportional hazards model has been an established model for survival analysis. The flexibility of incorporating time dependent covariates has made the analysis more suitable in many clinical trials when the time dependent covariates may be predictive factors for the events. Subjects are censore...

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Bibliographic Details
Published inContemporary clinical trials Vol. 136; p. 107401
Main Author Jin, Man
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.01.2024
Subjects
Cardiovascular
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Hematology, Oncology, and Palliative Medicine
Informative censoring
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Multiple imputation
Time dependent covariates
Tipping point
Time dependent covariates
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Multiple imputation
Informative censoring
Tipping point
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Summary:Cox proportional hazards model has been an established model for survival analysis. The flexibility of incorporating time dependent covariates has made the analysis more suitable in many clinical trials when the time dependent covariates may be predictive factors for the events. Subjects are censored for various reasons, but they are usually nonnormatively censored in the analysis. Methods for informative censoring are not well studied for settings with time dependent covariates. In this paper, we propose a few methods for informative censoring in survival analysis by Cox model with time dependent covariates, including tipping point method and Reference Based Imputation (Jump to Reference and Copy Reference). The implementation of these methods by multiple imputation is described and illustrated with two data examples.
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content type line 23
ISSN:1551-7144
1559-2030
1559-2030
DOI:10.1016/j.cct.2023.107401