KMS Of Academy of mathematics and systems sciences, CAS
| A rank-based approach to estimating monotone individualized two treatment regimes | |
Zhang, Haixiang1; Huang, Jian2; Sun, Liuquan3,4
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| 2020-11-01 | |
| Source Publication | COMPUTATIONAL STATISTICS & DATA ANALYSIS
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| ISSN | 0167-9473 |
| Volume | 151Pages:12 |
| Abstract | 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. |
| Keyword | Generalized regression Individualized treatment rule Outlier Personalized medicine Rank correlation |
| DOI | 10.1016/j.csda.2020.107015 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Computer Science ; Mathematics |
| WOS Subject | Computer Science, Interdisciplinary Applications ; Statistics & Probability |
| WOS ID | WOS:000542951600009 |
| Publisher | ELSEVIER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51667 |
| Collection | 应用数学研究所 |
| Corresponding Author | Zhang, Haixiang |
| Affiliation | 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 |
| Recommended Citation 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. |
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