威尼斯欢迎你welcome建院40周年系列学术活动第22期
统计学系列 Seminar 第70期
主题: Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model
主讲人: 赵世舜
主持人：王国长
地点：威尼斯欢迎你welcome（中惠楼）102室
会议时间：2020年10月16日上午9:00-10:00
摘要
Regression analysis of interval-censored failure time data with noninformative censoring has been widely investigated and many methods have been proposed. Sometimes the mechanism behind the interval censoring may be informative and several approaches have also been developed for this latter situation. However, all of these existing methods are for single models and it is well known that in many situations, one may prefer more flexible models. Corresponding to this, the linear transformation model is considered and a maximum likelihood estimation method is established. In the proposed method, the association between the failure time of interest and the censoring time is modelled by the copula model, and the involved nonparametric functions are approximated by spline functions. The large sample properties of the proposed estimators are derived. Numerical results show that the proposed method performs well in practical application. Besides, a real data example is presented for the illustration.
主讲人简介
赵世舜，现任吉林大学数学学院教授。在吉林大学获得博士学位，师从于史宁中教授。于2013年-2014年在美国密苏里大学做访问学者，近年来一直从事生存分析、多元统计以及大数据方向的研究。在国内外名杂志已发表SCI论文20余篇，包括区间删失的研究、相依区间删失的研究以及特征选择方向的研究。作为项目负责人主持国家自然科学面上项目2项，教育部科研项目1项，省自然科学基金2项。作为主要参与人参加国家自然科学基金项目3项。
