政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/142022

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113303/144284 (79%)
Visitors : 50803015 Online Users : 785

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/142022

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/142022

Title:	Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error
Authors:	陳立榜 Chen, Li-Pang Yi, Grace Y.
Contributors:	統計系
Keywords:	Cox model;Efficiency;Left-truncation;Measurement error;Right censoring
Date:	2021-06
Issue Date:	2022-09-21 11:45:49 (UTC+8)
Abstract:	Many methods have been developed for analyzing survival data which are commonly right-censored. These methods, however, are challenged by complex features pertinent to the data collection as well as the nature of data themselves. Typically, biased samples caused by left-truncation (or length-biased sampling) and measurement error often accompany survival analysis. While such data frequently arise in practice, little work has been available to simultaneously address these features. In this paper, we explore valid inference methods for handling left-truncated and right-censored survival data with measurement error under the widely used Cox model. We first exploit a flexible estimator for the survival model parameters which does not require specification of the baseline hazard function. To improve the efficiency, we further develop an augmented nonparametric maximum likelihood estimator. We establish asymptotic results and examine the efficiency and robustness issues for the proposed estimators. The proposed methods enjoy appealing features that the distributions of the covariates and of the truncation times are left unspecified. Numerical studies are reported to assess the finite sample performance of the proposed methods.
Relation:	Annals of the Institute of Statistical Mathematics, Vol.73, pp.481-517
Data Type:	article
DOI 連結:	https://doi.org/10.1007/s10463-020-00755-2
DOI:	10.1007/s10463-020-00755-2
Appears in Collections:	[統計學系] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	193	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...