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 Quantile regression for competing risks analysis under case-cohort design Fan, Caiyun1; Ma, Huijuan2; Zhou, Yong3,4 2018 Source Publication JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION ISSN 0094-9655 Volume 88Issue:6Pages:1060-1080 Abstract The case-cohort design brings cost reduction in large cohort studies. In this paper, we consider a nonlinear quantile regression model for censored competing risks under the case-cohort design. Two different estimation equations are constructed with or without the covariates information of other risks included, respectively. The large sample properties of the estimators are obtained. The asymptotic covariances are estimated by using a fast resampling method, which is useful to consider further inferences. The finite sample performance of the proposed estimators is assessed by simulation studies. Also a real example is used to demonstrate the application of the proposed methods. Keyword Augment inverse probability weighted case-cohort design competing risks estimating equation inverse probability weighted quantile regression DOI 10.1080/00949655.2017.1419352 Language 英语 Funding Project National Natural Science Foundation of Tianyuan[11626155] ; Shanghai Pujiang Program[16PJC041] ; National Institutes of Health[R01 HL113548] ; National Natural Science Foundation of China[71331006] ; State Key Program in the Major Research Plan of National Natural Science Foundation of China[91546202] ; National Center for Mathematics and Interdisciplinary Sciences (NCMIS) ; Key Laboratory of RCSDS, AMSS, CAS[2008DP173182] ; Shanghai University of Finance and Economics[IRTSHUFE13122402] WOS Research Area Computer Science ; Mathematics WOS Subject Computer Science, Interdisciplinary Applications ; Statistics & Probability WOS ID WOS:000424426000003 Publisher TAYLOR & FRANCIS LTD Citation statistics Document Type 期刊论文 Identifier http://ir.amss.ac.cn/handle/2S8OKBNM/29487 Collection 应用数学研究所 Corresponding Author Ma, Huijuan Affiliation 1.Shanghai Univ Int Business & Econ, Sch Stat & Informat, Shanghai, Peoples R China2.East China Normal Univ, Sch Stat, Shanghai, Peoples R China3.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China Recommended CitationGB/T 7714 Fan, Caiyun,Ma, Huijuan,Zhou, Yong. Quantile regression for competing risks analysis under case-cohort design[J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION,2018,88(6):1060-1080. APA Fan, Caiyun,Ma, Huijuan,&Zhou, Yong.(2018).Quantile regression for competing risks analysis under case-cohort design.JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION,88(6),1060-1080. MLA Fan, Caiyun,et al."Quantile regression for competing risks analysis under case-cohort design".JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 88.6(2018):1060-1080.
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