KMS Of Academy of mathematics and systems sciences, CAS
| Semiparametric varying-coefficient model with right-censored and length-biased data | |
Lin, Cunjie1; Zhou, Yong2,3
| |
| 2016-12-01 | |
| Source Publication | JOURNAL OF MULTIVARIATE ANALYSIS
 |
| ISSN | 0047-259X |
| Volume | 152Pages:119-144 |
| Abstract | The analysis of right-censored and length-biased data is commonly encountered in prevalent cohort studies. The special structure of length-biased data is different from the structure of traditional survival data and the methods for traditional survival data cannot be directly applied to length-biased data, because the assumption of independent censoring is often violated in the presence of biased sampling and the assumed model for the underlying population is no longer satisfied. In this paper, we propose a flexible semiparametric varying-coefficient model for analyzing the covariate effects on the population survival time under length-biased sampling. To estimate the parameters, we develop a three-stage estimation procedure, which can improve the efficiency of the estimators. In addition to the case where the censoring variable is independent of the covariates, we consider the case where the censoring variable depends on covariates. The asymptotic properties of the proposed estimators are derived under regularity conditions, and a resampling procedure is used to confirm the methods through simulations. Finally, we illustrate the methods using data concerning the Academy Awards. (C) 2016 Elsevier Inc. All rights reserved. |
| Keyword | Length-biased data Local linear regression Right-censored Semiparametric varying-coefficient model |
| DOI | 10.1016/j.jmva.2016.08.008 |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China (NSFC)[71271128] ; State Key Program of the National Natural Science Foundation of China[71331006] ; NCMIS ; Shanghai University of Finance and Economics[211] ; Shanghai Leading Academic Discipline Project |
| WOS Research Area | Mathematics |
| WOS Subject | Statistics & Probability |
| WOS ID | WOS:000385786600008 |
| Publisher | ELSEVIER INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/23786 |
| Collection | 应用数学研究所 |
| Corresponding Author | Lin, Cunjie |
| Affiliation | 1.Renmin Univ China, Sch Stat, Beijing, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 3.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China |
| Recommended Citation GB/T 7714 | Lin, Cunjie,Zhou, Yong. Semiparametric varying-coefficient model with right-censored and length-biased data[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2016,152:119-144. |
| APA | Lin, Cunjie,&Zhou, Yong.(2016).Semiparametric varying-coefficient model with right-censored and length-biased data.JOURNAL OF MULTIVARIATE ANALYSIS,152,119-144. |
| MLA | Lin, Cunjie,et al."Semiparametric varying-coefficient model with right-censored and length-biased data".JOURNAL OF MULTIVARIATE ANALYSIS 152(2016):119-144. |
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