School Seminars and Colloquia

Improving on Semiparametric Approach for Joint Modeling of Survival and Longitudinal Data

Statistics Seminar

by Wen-Han Hwang

Institution: National Chung Hsing University, Taiwan
Date: Tue 16th August 2011
Time: 1:00 PM
Location: Richard Berry Building Room 213, University of Melbourne

Abstract: Longitudinal covariates in survival models are generally analyzed using random effects models. By framing the estimation of these models as a functional measurement error problem, semiparametric approaches such as the conditional score or the corrected score can be used to establish consistent estimators for survival model parameters. These approaches require no distributional assumptions on the random effects and, in contrast with standard methods in the literature which only use covariate data in the risk set before each event time, can incorporate the entirety of longitudinal data available. Applying this approach, we develop an error augmentation technique that uses all available information to estimate the longitudinal covariate process. The consistency and efficiency improvement of the proposed semiparametric approach is confirmed theoretically and illustrated in a simulation study.

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