A rank-based approach to estimating monotone individualized two treatment regimes
Zhang, Haixiang1; Huang, Jian2; Sun, Liuquan3,4
刊名COMPUTATIONAL STATISTICS & DATA ANALYSIS
2020-11-01
卷号151页码:12
关键词Generalized regression Individualized treatment rule Outlier Personalized medicine Rank correlation
ISSN号0167-9473
DOI10.1016/j.csda.2020.107015
英文摘要Developing effective individualized treatment rules (ITRs) for diseases is an important goal of clinical research. Much effort has been devoted to estimating individualized treatment effects in the recent literature. However, there have not been systematic studies on the robust inference for individualized treatment effects when there exist potential outliers. We propose a monotone ITR in the framework of a semiparametric generalized regression with two treatments and estimate the treatment effects via a smoothed maximum rank correlation procedure. We provide sufficient conditions under which the proposed estimator has an asymptotically normal distribution whose variance can be consistently estimated based on a resampling procedure. We evaluate the finite-sample properties of our proposed approach via simulation studies. We also illustrate the proposed method by applying it to a data set from an AIDS clinical trials study. (C) 2020 Elsevier B.V. All rights reserved.
资助项目National Science Foundation of USA[DMS-1916199] ; National Natural Science Foundation of China[11771431] ; National Natural Science Foundation of China[11690015] ; National Natural Science Foundation of China[11926341] ; Key Laboratory of RCSDS, CAS, China[2008DP173182]
WOS研究方向Computer Science ; Mathematics
语种英语
出版者ELSEVIER
WOS记录号WOS:000542951600009
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/51666]  
专题应用数学研究所
通讯作者Zhang, Haixiang
作者单位1.Tianjin Univ, Ctr Appl Math, Tianjin 300072, Peoples R China
2.Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USA
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
4.Guangzhou Univ, Sch Econ & Stat, Guangzhou 510006, Peoples R China
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Zhang, Haixiang,Huang, Jian,Sun, Liuquan. A rank-based approach to estimating monotone individualized two treatment regimes[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2020,151:12.
APA Zhang, Haixiang,Huang, Jian,&Sun, Liuquan.(2020).A rank-based approach to estimating monotone individualized two treatment regimes.COMPUTATIONAL STATISTICS & DATA ANALYSIS,151,12.
MLA Zhang, Haixiang,et al."A rank-based approach to estimating monotone individualized two treatment regimes".COMPUTATIONAL STATISTICS & DATA ANALYSIS 151(2020):12.
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