A Vine Copula Approach for Regression Analysis of Bivariate Current Status Data with Informative Censoring

发布时间：2019-06-13 作者：浏览次数：

Speaker:	孙建国	DateTime:	2019年6月17日（周一）下午2：30-3：30
Brief Introduction to Speaker: 孙建国，美国密苏里大学哥伦比亚分校统计系教授。		Place:	六号楼二楼报告厅
Abstract:Bivariate current status data occur in many areas and many authors have discussed their analysis and proposed many inference procedures.However, most of these methods are for the situation where the observation or censoring is non-informative and sometimes one may face informative censoring, where one has to deal with three correlated random variables.In this talk, we will discuss a vine copula approach for regression analysis of bivariate current status data in the presence of informative censoring.