Power-transformed linear regression on quantile residual life for censored competing risks data

doi:10.1080/03610926.2014.950873

CSpace > 应用数学研究所

	Power-transformed linear regression on quantile residual life for censored competing risks data
	Fan, Caiyun 1,2; Zhang, Feipeng 3; Zhou, Yong2,4
	2016
发表期刊	COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
ISSN	0361-0926
卷号	45 期号:20 页码:5884-5905
摘要	This paper proposes a power-transformed linear quantile regression model for the residual lifetime of competing risks data. The proposed model can describe the association between any quantile of a time-to-event distribution among survivors beyond a specific time point and the covariates. Under covariate-dependent censoring, we develop an estimation procedure with two steps, including an unbiased monotone estimating equation for regression parameters and cumulative sum processes for the Box-Cox transformation parameter. The asymptotic properties of the estimators are also derived. We employ an efficient bootstrap method for the estimation of the variance-covariance matrix. The finite-sample performance of the proposed approaches are evaluated through simulation studies and a real example.
关键词	Box-Cox transformation Competing risks Empirical process Quantile residual life 62N01 62N02
DOI	10.1080/03610926.2014.950873
语种	英语
资助项目	Graduate Creation Funds of Shanghai University of Finance and Economics[CXJJ-2013-449] ; Shanghai Young Teacher Training Scheme of Universities[ZZSWM15019] ; Shanghai Summit and Plateau Discipline ; Scientific and Technological projects of Shenyang[F14-231-1-39] ; National Natural Science Foundation of China (NSFC)[11401194] ; National Natural Science Foundation of China (NSFC)[71271128] ; Fundamental Research Funds for the Central Universities[531107050739] ; State Key Program of National Natural Science Foundation of China[71331006] ; State Key Program of National Natural Science Foundation of China[91546202] ; National Center for Mathematics and Interdisciplinary Sciences (NCMIS) ; Key Laboratory of RCSDS ; Academy of Mathematics and Systems Science (AMSS) ; Chinese Academy of Sciences (CAS)[2008DP173182] ; Shanghai First-class Discipline A, Program for Changjiang Scholars (PCSIRT) ; Innovative Research Team in Shanghai University of Finance and Economics (SUFE)[IRT13077]
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000381578700002
出版者	TAYLOR & FRANCIS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/23542
专题	应用数学研究所
通讯作者	Zhang, Feipeng
作者单位	1.Shanghai Univ Int Business & Econ, Sch Stat & Informat, Shanghai, Peoples R China 2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China 3.Hunan Univ, Sch Finance & Stat, 109 Shijiachong Rd, Changsha 410006, Hunan, 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,Zhang, Feipeng,Zhou, Yong. Power-transformed linear regression on quantile residual life for censored competing risks data[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2016,45(20):5884-5905.
APA	Fan, Caiyun,Zhang, Feipeng,&Zhou, Yong.(2016).Power-transformed linear regression on quantile residual life for censored competing risks data.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,45(20),5884-5905.
MLA	Fan, Caiyun,et al."Power-transformed linear regression on quantile residual life for censored competing risks data".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 45.20(2016):5884-5905.