Regression Analysis of Censored Data with Nonignorable Missing Covariates and Application to Alzheimer Disease

报告人：李会琼

报告地点：腾讯会议ID:664 478 804

报告时间：2021年11月01日星期一10:30-11:30

报告摘要：

In this paper, we discuss regression analysis of censored failure time data when there exist missing covariates and more specifically, we will consider interval-censored data, a general form of censored data, and the nonignorable missing. Although many methods have been proposed in the literature for censored data with missing covariates, they only apply to limited situations and it does not seem to exist an established procedure for the situation discussed here. For the analysis, we employ the semiparametric linear transformation model and develop a two-step estimation procedure. In addition, the asymptotic properties of the resulting estimators are established and a Poisson variable based EM algorithm is provided for the implementation of the proposed estimation procedure. Finally the proposed approach is applied to an Alzheimer Disease study that motivated this investigation.

主讲人简介：

李会琼，1979年3月生，教授，博士生导师，云南省中青年学术和技术带头人后备人才，云南省万人计划青年拔尖人才。主要从事机器学习、医学统计，生存分析，超高维数据分析，缺失数据分析等领域的研究。主持国家级、省部级科研项目8项，在医学统计权威杂志《Statistics
in Medicine》、《Statistical Methods in Medical
Research》等发表高水平论文30余篇，科学出版社出版教材1部。获首届全国优秀教材二等奖1项，全国统计科学研究优秀论文成果奖二等奖2项，云南省自然科学二等奖2项。指导学生参加全国大学生市场调查大赛荣获一等奖1项，二等奖1项，三等奖4项；指导研究生参加全国应用统计案例大赛荣获二等奖1项，三等奖2项；指导研究生参加全国研究生数学建模大赛荣获二等奖2项，三等奖4项。兼任中国现场统计研究会高维数据统计分会理事、旅游大数据分会理事，全国工业统计研究会理事、全国青年统计学会理事等职。