讲座题目：Regression Analysis of Asynchronous Longitudinal Data with Informative Observation Processes

主讲人：赵慧

讲座时间：2021.12.10（周五）下午14：30-15：30

讲座地点： 数统楼学术活动室五，腾讯会议：161 613 962

主讲人简介：

赵慧，中南财经政法大学统计与数学学院教授、博士生导师。2005年7月在北京大学数学科学学院获理学博士学位。主要研究方向为生存分析与纵向数据分析，早期也对图模型与因果推断问题进行过一些研究。曾主持中国博士后科学基金项目一项、国家自然科学基金项目三项、中央高校自主科研项目多项，在JASA, Biometrics等国内外核心期刊发表论文四十余篇。

主讲内容：

The traditional regression analysis methods of longitudinal data assume that covariates can be observed completely or at the same observation times for the response variable, and the observation process is independent of the response variable completely or given covariates. However, in practice, one may face the situation where the response variable and covariates are observed intermittently at different time points, leading to sparse asynchronous longitudinal data, or the observation process may be related to the response variable even given covariates. It is apparent that sometimes both issues can occur in the same time and although some literature has been developed to address each of the two issues, it does not seem to exist an established approach that can deal with both together. To address this, in this paper, a flexible semiparametric transformation conditional model is presented and for estimation, a kernel-weighted estimating equation-based approach is proposed. The theoretical properties of the proposed estimators are discussed. For the assessment of the finite sample performance of the method, an extensive simulation study is carried out and finally the approach is applied to a prospective HIV study that motivated this investigation.