报告题目：Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer Disease
报告人：李会琼 教授 云南大学
报告时间：2021年6月17日 9：00-10：00
报告地点：腾讯会议 会议 ID：132 698 185 会议密码：0617
校内联系人：王培洁 wangpeijie@jlu.edu.cn
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 variablebased 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.
报告人简介：李会琼，云南大学教授，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。兼职中国现场研究会高维数据分会理事等职。主要从事医学统计，生存分析，超高维数据分析，缺失数据分析等领域的科研与教学工作。主持国家级、省部级项目8项，在医学统计方面的权威杂志《Statistics in Medicine》、《Statistical Methods in Medical Research》等杂志发表高水平论文30余篇，科学出版社出版教材1部。获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。拟承担统计学，大数据科学与技术等方向课程教学，博士生指导等工作。
