球王会(集团)体育科技有限公司官网理学院“明理志远”学术讲坛(四十五)

发布时间:2023-11-10浏览次数:792文章来源:理学院

  报告题目:Variable selection for generalized odds rate mixture cure models with interval-censored failure time data

  报告时间:2023年11月13日10:00-13:00

  报告地点:理学院 405

  报 告 人:赵世舜 教授

  报告人简介:

  赵世舜,教授,吉林大学数学学院,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论文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。作为主要参加人参加国家自然科学基金项目3项。

  报告内容:

  Variable selection for failure time data with a cured fraction has been discussed by many authors but most of existing methods apply only to right-censored failure time data. In this paper, we consider variable selection when one faces interval-censored failure time data arising from a general class of generalized odds rate mixture cure models, and we propose a penalized variable selection method by maximizing a derived penalized likelihood function. In the method, the sieve approach is employed to approximate the unknown function, and it is implemented using a novel penalized expectation maximization (EM) algorithm. Also the asymptotic properties of the proposed estimators of regression parameters, including the oracle property, are obtained. Furthermore, a simulation study is conducted to assess the finite sample performance of the proposed method, and the results indicate that it works well in practice. Finally, the approach is applied to a set of real data on childhood mortality taken from the Nigeria Demographic and Health Survey.


  欢迎广大师生前来聆听!

主办单位:球王会(集团)体育科技有限公司官网理学院

 




最新更新