Quantile regression for competing risks analysis under case-cohort design | |
Fan, Caiyun1; Ma, Huijuan2; Zhou, Yong3,4 | |
刊名 | JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION |
2018 | |
卷号 | 88期号:6页码:1060-1080 |
关键词 | Augment inverse probability weighted case-cohort design competing risks estimating equation inverse probability weighted quantile regression |
ISSN号 | 0094-9655 |
DOI | 10.1080/00949655.2017.1419352 |
英文摘要 | 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. |
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 |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000424426000003 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/29486] |
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. |
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