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Quantile regression for competing risks analysis under case-cohort design
Fan, Caiyun1; Ma, Huijuan2; Zhou, Yong3,4
2018
Source PublicationJOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
ISSN0094-9655
Volume88Issue:6Pages:1060-1080
AbstractThe 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.
KeywordAugment inverse probability weighted case-cohort design competing risks estimating equation inverse probability weighted quantile regression
DOI10.1080/00949655.2017.1419352
Language英语
Funding ProjectNational 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 AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Interdisciplinary Applications ; Statistics & Probability
WOS IDWOS:000424426000003
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/29487
Collection应用数学研究所
Affiliation1.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
Recommended Citation
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.
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