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Article: Dynamic Random Effects Models for Times between Repeated Events

TitleDynamic Random Effects Models for Times between Repeated Events
Authors
KeywordsCensoring
Dynamic random effects
Proportional hazards models
Recurrent events
Issue Date2001
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1380-7870
Citation
Lifetime Data Analysis, 2001, v. 7 n. 4, p. 345-362 How to Cite?
AbstractWe consider recurrent event data when the duration or gap times between successive event occurrences are of intrinsic interest. Subject heterogeneity not attributed to observed covariates is usually handled by random effects which result in an exchangeable correlation structure for the gap times of a subject. Recently, efforts have been put into relaxing this restriction to allow non-exchangeable correlation. Here we consider dynamic models where random effects can vary stochastically over the gap times. We extend the traditional Gaussian variance components models and evaluate a previously proposed proportional hazards model through a simulation study and some examples. Besides, semiparametric estimation of the proportional hazards models is considered. Both models are easily used. The Gaussian models are easily interpreted in terms of the variance structure. On the other hand, the proportional hazards models would be more appropriate in the context of survival analysis, particularly in the interpretation of the regression parameters. They can be sensitive to the choice of model for random effects but not to the choice of the baseline hazard function.
Persistent Identifierhttp://hdl.handle.net/10722/48490
ISSN
2015 Impact Factor: 0.81
2015 SCImago Journal Rankings: 0.717
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFong, DYTen_HK
dc.contributor.authorLam, KFen_HK
dc.contributor.authorLawless, JFen_HK
dc.contributor.authorLee, YWen_HK
dc.date.accessioned2008-05-22T04:14:58Z-
dc.date.available2008-05-22T04:14:58Z-
dc.date.issued2001en_HK
dc.identifier.citationLifetime Data Analysis, 2001, v. 7 n. 4, p. 345-362en_HK
dc.identifier.issn1380-7870en_HK
dc.identifier.urihttp://hdl.handle.net/10722/48490-
dc.description.abstractWe consider recurrent event data when the duration or gap times between successive event occurrences are of intrinsic interest. Subject heterogeneity not attributed to observed covariates is usually handled by random effects which result in an exchangeable correlation structure for the gap times of a subject. Recently, efforts have been put into relaxing this restriction to allow non-exchangeable correlation. Here we consider dynamic models where random effects can vary stochastically over the gap times. We extend the traditional Gaussian variance components models and evaluate a previously proposed proportional hazards model through a simulation study and some examples. Besides, semiparametric estimation of the proportional hazards models is considered. Both models are easily used. The Gaussian models are easily interpreted in terms of the variance structure. On the other hand, the proportional hazards models would be more appropriate in the context of survival analysis, particularly in the interpretation of the regression parameters. They can be sensitive to the choice of model for random effects but not to the choice of the baseline hazard function.en_HK
dc.format.extent327368 bytes-
dc.format.extent215190 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.languageengen_HK
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1380-7870en_HK
dc.relation.ispartofLifetime Data Analysisen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsThe original publication is available at www.springerlink.comen_HK
dc.subjectCensoringen_HK
dc.subjectDynamic random effectsen_HK
dc.subjectProportional hazards modelsen_HK
dc.subjectRecurrent eventsen_HK
dc.titleDynamic Random Effects Models for Times between Repeated Eventsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1380-7870&volume=7&issue=4&spage=345&epage=362&date=2001&atitle=Dynamic+random+effects+models+for+times+between+repeated+eventsen_HK
dc.identifier.emailFong, DYT: dytfong@hku.hken_HK
dc.identifier.emailLam, KF: hrntlkf@hkucc.hku.hken_HK
dc.identifier.authorityFong, DYT=rp00253en_HK
dc.identifier.authorityLam, KF=rp00718en_HK
dc.description.naturepostprinten_HK
dc.identifier.doi10.1023/A:1012544714667en_HK
dc.identifier.pmid11763543-
dc.identifier.scopuseid_2-s2.0-0035656099en_HK
dc.identifier.hkuros65231-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035656099&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume7en_HK
dc.identifier.issue4en_HK
dc.identifier.spage345en_HK
dc.identifier.epage362en_HK
dc.identifier.isiWOS:000172540000002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridFong, DYT=35261710300en_HK
dc.identifier.scopusauthoridLam, KF=8948421200en_HK
dc.identifier.scopusauthoridLawless, JF=35619190100en_HK
dc.identifier.scopusauthoridLee, YW=8948421100en_HK

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