Quantile regression for competing risks analysis under case-cohort design

doi:10.1080/00949655.2017.1419352

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	Quantile regression for competing risks analysis under case-cohort design
	Fan, Caiyun 1; Ma, Huijuan 2; Zhou, Yong3,4
	2018
发表期刊	JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
ISSN	0094-9655
卷号	88 期号:6 页码:1060-1080
摘要	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.
关键词	Augment inverse probability weighted case-cohort design competing risks estimating equation inverse probability weighted quantile regression
DOI	10.1080/00949655.2017.1419352
语种	英语
资助项目	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研究方向	Computer Science ; Mathematics
WOS类目	Computer Science, Interdisciplinary Applications ; Statistics & Probability
WOS记录号	WOS:000424426000003
出版者	TAYLOR & FRANCIS LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/29487
专题	应用数学研究所
通讯作者	Ma, Huijuan
作者单位	1.Shanghai Univ Int Business & Econ, Sch Stat & Informat, Shanghai, Peoples R China 2.East China Normal Univ, Sch Stat, Shanghai, Peoples R China 3.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式 GB/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.