报告题目：Regression analysis of dependent current status data with the accelerate failure time model
报 告 人：徐达 东北师范大学 博士
报告时间：2020年12月24日 下午14:00-15:00
报告地点：数学楼第一报告厅
报告摘要：
In this article, we discuss the regression analysis of dependent current status data under the accelerated failure time model. There exist many literatures discussing the regression analysis of current status data under different models,but few literature discussing the regression problem of dependent current status data under the AFT model. Corresponding to this, we propose a sieve maximum likelihood approach for estimation of covariate effects. In the approach, we model the correlation between the interested survival time and the observation time by the copula function. Simulation study is conducted in order to assess the finite sample behavior of the method. A real data example is provided to illustrate the application of the proposed method.
报告人简介：
徐达，东北师范大学数学与统计学院讲师，于bat365在线平台概率论与数理统计专业获得博士学位。主要研究方向为生存分析、长度偏差数据、复杂数据的半参数非参数建模推断等，已在国内外知名期刊发表论文多篇。
