報告題目：Regression analysis of dependent current status data with the accelerate failure time model
報 告 人：徐達 東北師範大學 博士
報告時間：2020年12月24日 下午14:00-15:00
報告地點：數學樓第一報告廳
報告摘要：
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.
報告人簡介：
徐達，東北師範大學數學與統計學院講師，于伟德线上平台概率論與數理統計專業獲得博士學位。主要研究方向為生存分析、長度偏差數據、複雜數據的半參數非參數建模推斷等，已在國内外知名期刊發表論文多篇。
