Regression analysis of doubly censored failure time data using the additive hazards model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sun, LQ | - |
dc.contributor.author | Kim, Yang Jin | - |
dc.contributor.author | Sun, JG | - |
dc.date.accessioned | 2023-12-18T10:02:05Z | - |
dc.date.available | 2023-12-18T10:02:05Z | - |
dc.date.issued | 2004-09 | - |
dc.identifier.issn | 0006-341X | - |
dc.identifier.issn | 1541-0420 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/159225 | - |
dc.description.abstract | Doubly censored failure time data arise when the survival time of interest is the elapsed time between two related events and observations on occurrences of both events could be censored. Regression analysis of doubly censored data has recently attracted considerable attention and for this a few methods have been proposed (Kim et al., 1993, Biometrics 49, 13-22; Sun et al., 1999, Biometrics 55, 909-914; Pan, 2001., Biometrics 57, 1245-1250). However, all of the methods are based on the proportional hazards model and it is well known that the proportional hazards model may not fit failure time data well sometimes. This article investigates regression analysis of such data using the additive hazards model and an estimating equation approach is proposed for inference about regression parameters of interest. The proposed method can be easily implemented and the properties of the proposed estimates of regression parameters are established. The method is applied to a, set of doubly censored data from an AIDS cohort study. | - |
dc.format.extent | 7 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | BLACKWELL PUBLISHING LTD | - |
dc.title | Regression analysis of doubly censored failure time data using the additive hazards model | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1111/j.0006-341X.2004.00212.x | - |
dc.identifier.scopusid | 2-s2.0-4444334034 | - |
dc.identifier.wosid | 000223818200012 | - |
dc.identifier.bibliographicCitation | BIOMETRICS, v.60, no.3, pp 637 - 643 | - |
dc.citation.title | BIOMETRICS | - |
dc.citation.volume | 60 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 637 | - |
dc.citation.endPage | 643 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Additive hazards model | - |
dc.subject.keywordAuthor | Doubly censored data | - |
dc.subject.keywordAuthor | Estimating equation | - |
dc.subject.keywordAuthor | Multiple imputation | - |
dc.subject.keywordAuthor | Regression analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.