报告题目：Semiparametric analysis of informatively double-censored data under generalized accelerated hazards model
报 告 人：王淑影 副教授
所在单位：长春工业大学
报告时间：2024年12月10日 星期二 15:45-16:30
报告地点：吉林大学中心校区数学楼第二报告厅
校内联系人：程建华 chengjh@jlu.edu.cn
报告摘要：Double-censored data arise when the failure time of interest can be observed only if it is within an interval or a window. Such data can occur in many areas and many methods have been proposed for their analyses. However, most of the existing methods assume that or apply only to the situation where the censoring is independent. On the other hand, it is well-known this may not be true or one may face informative censoring in many cases. To address this, we present a generalized accelerated hazards frailty model that allows for dependent censoring among other advantages and includes the proportional hazards, accelerated failure time and traditional accelerated hazards models as special cases. For inference, we propose a joint model-based sieve maximum likelihood approach and develop an EM-based algorithm for its implementation, Also the profile approach is adapted for variance estimation and the proposed estimator of regression parameters is shown to be consistent and asymptotically normal. Furthermore, an extensive simulation study is performed and suggests that the proposed method works well in practical situations and it is applied to a set of real data from an AIDS clinical trial that motivated this study.
报告人简介：中共党员，副教授，博士生导师，长春工业大学大数据科学研究院副院长兼统计系副主任，主要研究方向是生物统计，主要从事复杂相依删失数据的统计推断研究。主持国家自然科学基金项目2项，中国博士后科学基金面上项目1项，吉林省优秀青年基金项目1项，吉林省博士后择优资助项目1项，作为主要参与人参与国家自然科学基金项目6项。在Statistical Methods in Medical Research，Biometrical Journal，Computational Statistics and Data Analysis, Lifetime Data Analysis, 数理统计与管理等SCI/CSSCI国际国内知名统计期刊公开发表论文18篇，其中第一作者/通讯作者论文17篇，指导博士研究生3人，硕士研究生17人。
