演講公告

東海大學統計學系學術演講1050426

公告時間:2016-04-25 17:17:11
公告單位:統計學系

 

 

東海大學統計學系學術演講

間:1054 26日(星期二下午14:10~15:00

點:管理學院新大樓M367

主講人:程毅豪   研究員   (中研院統計科學研究所)

題:Semiparametric Regression Analysis of Recurrent Gap Times in the  

         Presence of Competing Risks

 

Abstract

   When a disease progression is assumed to go through several stages marked by a nonterminal, recurrent event such as relapse, or a terminal event such as death, whose occurrence terminates the progression, researchers might be concerned with the duration or gap times between successive events (stages) and would like to study the covariates effects on the gap times. In addition, how the previous events or gap times affect the current gap time may be also of interest. We propose a unifying framework for joint regression analysis of gap times between successive events. The proposed mixture modeling framework consists of a logistic regression for predicting the path of transition (to a nonterminal or terminal event) at each stage, and proportional hazards models for predicting the gap times for transition to the nonterminal and terminal events at each stage, and both the two components of models are conditional on the past event history and stage-specific covariates. As special cases, when the number of stages is fixed at one or two, the proposed framework can be applied to analysis of conventional competing risks or semicompeting risks data. We develop semiparametric maximum likelihood inference procedure for the proposed models, where the score functions are explicitly expressed as martingales, and hence the large sample theory follows directly from martingale theory. Simulation results reveal the nice performance, and applications to two clinical studies illustrate the real utilities of the proposed model.

(Joint work with Dr. Chia-Hui Huang at National Taipei University)

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