刘莉(武汉大学):Clustered Event Time with Covariates Missing Not at Random

时间:2018-04-26浏览:140设置

讲座时间:5月4日15:30-16:30

讲座地点:统计楼103会议室(闵行校区)

报告人:刘莉,武汉大学数学与统计学院副教授,主要研究方向生存分析,纵向数据,高维数据分析等。

报告题目:Clustered Event Time  with Covariates Missing Not at Random

Abstract:Motivated by a study of tuberculosis (TB) screening, this paper considers the regression analysis of right-censored event times from clustered individuals. Specifically, we are concerned with situations where some covariate entries are missing not at random (MNAR). We propose a likelihood-based estimation procedure under the Cox proportional hazards frailty model. The proposed estimator is in fact an adaption of the semiparametric maximum likelihood estimator with complete covariate information. Readily available supplementary information on the missing covariate is used to provide the variation of the estimator. We present algorithms to compute the estimator and its variation, establish their consistency and weak convergence, and examine their finite-sample performance via simulation. The proposed approach is illustrated with the TB study data.



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