報告題目: Feature screening for case-cohort studies in the presence of interval censoring
報 告 人：李會瓊 教授
報告單位：雲南大學
報告時間：2022年11月4日 星期五 上午10：00—11:00
報告地點： 騰訊會議：441-725-119 會議密碼：221104
校内聯系人：杜明月 mingydu@jlu.edu.cn
報告摘要: A great literature has been established for both feature screening under various situations and the analysis of case-cohort studies. Also several methods have been proposed for feature screening when one faces case-cohort studies but all of the existing methods apply only to right-censored failure time data. In this paper, we discuss feature screening for case-cohort studies in the presence of interval censoring, a type of censoring that occurs more generally and includes right censoring as a special case. For the problem, two methods, a model-based procedure and a model-free procedure, are proposed. The former, an inverse probability weighted joint likelihood screening approach, is developed under the proportional hazards model, the most commonly used model for failure time data analysis. The latter is a weighted smooth partial rank screening method that allows for both ultrahigh dimensional covariates and covariate-dependent censoring. For the proposed methods, the sure screening property is established as well as the ranking consistency under mild regularity conditions. An extensive simulation study is conducted to assess the performance of the proposed methods and indicates that they work well in practical situations.
報告人簡介：李會瓊，雲南大學數學與統計學院教授，博士生導師，主要從事大數據分析、生物醫學統計，生存分析缺失數據分析等領域的研究。主持國家級、省部級科研項目12項。在統計權威雜志發表高水平論文30餘篇。2021年獲“雲南省中青年學術和技術帶頭人”稱号，2018年獲“雲南省萬人計劃青年拔尖人才”。2021年獲首屆全國優秀教材（高等教育類）二等獎（排名第二），2017年獲雲南省自然科學二等獎1項（排名第三），2010年，2012年分别獲全國統計科學研究優秀論文成果獎二等獎2項。兼任中國現場統計研究會高維數據統計分會理事、旅遊大數據分會理事，全國工業統計研究會理事、全國青年統計學會理事等職。
