报告题目：Regression analysis of interval-censored failure time data with change points and a cured subgroup
主讲人：杜明月副教授(吉林越南直播)
时间：2026年5月28日（周四）9:00 a.m.
形式：线上讲座
腾讯会议：469-829-036
主办单位：统计与数学学院
摘要：
There exists a substantial body of literature that discusses regression analysis of interval-censored failure time data and also many methods have been proposed for handling the presence of a cured subgroup. However, only limited research exists on the problems incorporating change points, w ith or w ithout a cured subgroup, which can occur in various contexts such as clinical trials where disease risks may shift dramatically when certain biological indicators exceed specific thresholds. To fill this gap, we consider a class of partly linear transformation models within the mixture cure model framework and propose a sieve maximum likelihood estimation approach using Bernstein polynomials and piecewise linear functions for inference. Additionally, we provide a data-driven adaptive procedure to identify the number and locations of change points and establish the asymptotic properties of the proposed method. Extensive simulation studies demonstrate the effectiveness and practical utility of the proposed methods, which are applied to the real data from a breast cancer study that motivated this work.
主讲人简介：
杜明月，吉林越南直播副教授，博士生导师，主要研究方向为复杂删失数据的统计推断研究。目前在JASA、Annals of Applied Statistics、Biometrics、Journal of Computational and Graphical Statistics、Statistica Sinica、SMMR、Statistics in Medicine、Statistics and Computing等期刊发表30余篇988pay钱包论文。2022年荣获ICSA中国会议青年研究学者奖，2023年获得国家天元数学东北中心优秀青年学者奖励和12届ICSA国际会议青年研究学者奖，2024年被评选为International Statistical Institute推选会员，荣获 Institute of Mathematical Statistics的Junior Researcher Travel Award。现任Journal of Applied Statistics和Statistics in Biosciences期刊编委。
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