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Variable screening for varying coefficient models with ultrahigh-dimensional survival data

文献类型：期刊论文

作者Qu, Lianqiang1; Wang, Xiaoyu2; Sun, Liuquan2
刊名COMPUTATIONAL STATISTICS & DATA ANALYSIS
出版日期2022-08-01
卷号172页码:12
关键词Kernel smoothing Survival data Ultrahigh dimensionality Variable screening Varying coefficient
ISSN号0167-9473
DOI10.1016/j.csda.2022.107498
英文摘要In this article, we develop a variable screening method for varying coefficient hazards models of single-index form. The proposed method can be viewed as a natural survival extension of conditional correlation screening. An appealing feature of the proposed method is that it is applicable to many popularly used survival models, including the varying coefficient additive hazards model and the varying coefficient Cox model. The proposed method enjoys the sure screening property, and the number of the selected covariates can be bounded by a moderate order. Simulation studies demonstrate that our method performs well, and an empirical example is also presented.(c) 2022 Elsevier B.V. All rights reserved.
资助项目National Natural Science Foundation of China[12171463] ; National Natural Science Foundation of China[12001219] ; Hubei Natural Science Foundation of China[2018CFB256]
WOS研究方向Computer Science ; Mathematics
语种英语
WOS记录号WOS:000796740200003
出版者ELSEVIER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/61463]  
专题应用数学研究所
博士后
通讯作者Sun, Liuquan
作者单位1.Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Qu, Lianqiang,Wang, Xiaoyu,Sun, Liuquan. Variable screening for varying coefficient models with ultrahigh-dimensional survival data[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2022,172:12.
APA Qu, Lianqiang,Wang, Xiaoyu,&Sun, Liuquan.(2022).Variable screening for varying coefficient models with ultrahigh-dimensional survival data.COMPUTATIONAL STATISTICS & DATA ANALYSIS,172,12.
MLA Qu, Lianqiang,et al."Variable screening for varying coefficient models with ultrahigh-dimensional survival data".COMPUTATIONAL STATISTICS & DATA ANALYSIS 172(2022):12.

入库方式： OAI收割

来源：数学与系统科学研究院

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