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Comparing methods using auxiliary information in estimating the restricted mean lifetime in the presence of dependent censoring
Method We will generate simulation data in which the event times and the censoring times are associated through an internal time-dependent covariate. Then, we will estimate the restricted mean lifetime based on the three methods: IPCW, JLCM, non-parametric risk set imputation, and a naïve method: the usual proportional hazard model that ignores dependent censoring, and compare the consistency and efficiency of these four estimators.
Conclusion To our knowledge, JCLM has not been applied to the estimation of the survival time in the presence of dependent censoring and no published comparison has been made on estimators for the restricted mean lifetime based on these three approaches. With this study, we will inform clinical researchers reliable and precise options when dependent censoring is expected.
Learning Objectives:
Compare methods using auxiliary information in estimating the restricted mean lifetime in the presence of dependent censoring.
Qualified on the content I am responsible for because: I have completed two years of training in the master program of biostatistics at the University of Michigan. Before studying biostatistics and mathematics, I have completed my medical eduction and two years of residency in Taiwan. I am interested in survival analysis and longitudinal analysis with application to clinical research. One of my major career goal is to make these statistical methods approachable to public health researchers.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.