Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects
文献类型：期刊论文
| 作者 | Chen, Xuerong1; Liu, Yeqian2; Sun, Jianguo2,3; Zhou, Yong4,5
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| 刊名 | SCANDINAVIAN JOURNAL OF STATISTICS
 |
| 出版日期 | 2016-12-01 |
| 卷号 | 43期号:4页码:921-938 |
| 关键词 | length-biased data quantile regression resampling method right censoring varying-coefficient model |
| ISSN号 | 0303-6898 |
| DOI | 10.1111/sjos.12221 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000387456900001 |
| 出版者 | WILEY-BLACKWELL |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/24099]  |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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