A rank-based approach to estimating monotone individualized two treatment regimes

doi:10.1016/j.csda.2020.107015

CSpace > 应用数学研究所

	A rank-based approach to estimating monotone individualized two treatment regimes
	Zhang, Haixiang 1; Huang, Jian 2; Sun, Liuquan3,4
	2020-11-01
发表期刊	COMPUTATIONAL STATISTICS & DATA ANALYSIS
ISSN	0167-9473
卷号	151 页码:12
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.
关键词	Generalized regression Individualized treatment rule Outlier Personalized medicine Rank correlation
DOI	10.1016/j.csda.2020.107015
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Interdisciplinary Applications ; Statistics & Probability
WOS记录号	WOS:000542951600009
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/51667
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
推荐引用方式 GB/T 7714	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.