Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects

doi:10.1111/sjos.12221

CSpace > 应用数学研究所

	Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects
	Chen, Xuerong 1; Liu, Yeqian 2; Sun, Jianguo 2,3; Zhou, Yong4,5
	2016-12-01
发表期刊	SCANDINAVIAN JOURNAL OF STATISTICS
ISSN	0303-6898
卷号	43 期号:4 页码:921-938
摘要	Right-censored and length-biased failure time data arise in many fields including cross-sectional prevalent cohort studies, and their analysis has recently attracted a great deal of attention. It is well-known that for regression analysis of failure time data, two commonly used approaches are hazard-based and quantile-based procedures, and most of the existing methods are the hazard-based ones. In this paper, we consider quantile regression analysis of right-censored and length-biased data and present a semiparametric varying-coefficient partially linear model. For estimation of regression parameters, a three-stage procedure that makes use of the inverse probability weighted technique is developed, and the asymptotic properties of the resulting estimators are established. In addition, the approach allows the dependence of the censoring variable on covariates, while most of the existing methods assume the independence between censoring variables and covariates. A simulation study is conducted and suggests that the proposed approach works well in practical situations. Also, an illustrative example is provided.
关键词	length-biased data quantile regression resampling method right censoring varying-coefficient model
DOI	10.1111/sjos.12221
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[11501461] ; National Natural Science Foundation of China (NSFC)[71271128] ; Fundamental Research Funds for the Central Universities[JBK120509] ; Fundamental Research Funds for the Central Universities[JBK140507] ; State Key Program of National Natural Science Foundation of China[71331006] ; NCMIS, Key Laboratory of RCSDS, AMSS, CAS[2008DP173182] ; Shanghai First-class Discipline A, Program for Changjiang Scholars (PCSIRT) and Innovative Research Team[SUFEIRT13077]
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000387456900001
出版者	WILEY-BLACKWELL
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/24100
专题	应用数学研究所
通讯作者	Chen, Xuerong
作者单位	1.Southwestern Univ Finance & Econ, Sch Stat, 555 Liutai Ave, Chengdu 611130, Sichuan, Peoples R China 2.Univ Missouri, Dept Stat, Columbia, MO 65211 USA 3.Jilin Univ, Inst Math, Changchun, Peoples R China 4.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China 5.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Chen, Xuerong,Liu, Yeqian,Sun, Jianguo,et al. Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects[J]. SCANDINAVIAN JOURNAL OF STATISTICS,2016,43(4):921-938.
APA	Chen, Xuerong,Liu, Yeqian,Sun, Jianguo,&Zhou, Yong.(2016).Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects.SCANDINAVIAN JOURNAL OF STATISTICS,43(4),921-938.
MLA	Chen, Xuerong,et al."Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects".SCANDINAVIAN JOURNAL OF STATISTICS 43.4(2016):921-938.