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Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects
Chen, Xuerong1; Liu, Yeqian2; Sun, Jianguo2,3; Zhou, Yong4,5
2016-12-01
Source PublicationSCANDINAVIAN JOURNAL OF STATISTICS
ISSN0303-6898
Volume43Issue:4Pages:921-938
AbstractRight-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.
Keywordlength-biased data quantile regression resampling method right censoring varying-coefficient model
DOI10.1111/sjos.12221
Language英语
Funding ProjectNational 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 Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000387456900001
PublisherWILEY-BLACKWELL
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/24100
Collection应用数学研究所
Corresponding AuthorChen, Xuerong
Affiliation1.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
Recommended Citation
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.
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