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Article: Bayesian cure rate frailty models with application to a root canal therapy study

TitleBayesian cure rate frailty models with application to a root canal therapy study
Authors
KeywordsBayesian inference
Cure fraction
Frailty model
Gibbs sampling
Multivariate failure time data
Proportional hazards
Issue Date2005
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
Citation
Biometrics, 2005, v. 61 n. 2, p. 552-558+653 How to Cite?
AbstractDue to natural or artificial clustering, multivariate survival data often arise in biomedical studies, for example, a dental study involving multiple teeth from each subject. A certain proportion of subjects in the population who are not expected to experience the event of interest are considered to be "cured" or insusceptible. To model correlated or clustered failure time data incorporating a surviving fraction, we propose two forms of cure rate frailty models. One model naturally introduces frailty based on biological considerations while the other is motivated from the Cox proportional hazards frailty model. We formulate the likelihood functions based on piecewise constant hazards and derive the full conditional distributions for Gibbs sampling in the Bayesian paradigm. As opposed to the Cox frailty model, the proposed methods demonstrate great potential in modeling multivariate survival data with a cure fraction. We illustrate the cure rate frailty models with a root canal therapy data set.
Persistent Identifierhttp://hdl.handle.net/10722/146563
ISSN
2015 Impact Factor: 1.36
2015 SCImago Journal Rankings: 1.906
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYin, Gen_HK
dc.date.accessioned2012-05-02T08:37:02Z-
dc.date.available2012-05-02T08:37:02Z-
dc.date.issued2005en_HK
dc.identifier.citationBiometrics, 2005, v. 61 n. 2, p. 552-558+653en_HK
dc.identifier.issn0006-341Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/146563-
dc.description.abstractDue to natural or artificial clustering, multivariate survival data often arise in biomedical studies, for example, a dental study involving multiple teeth from each subject. A certain proportion of subjects in the population who are not expected to experience the event of interest are considered to be "cured" or insusceptible. To model correlated or clustered failure time data incorporating a surviving fraction, we propose two forms of cure rate frailty models. One model naturally introduces frailty based on biological considerations while the other is motivated from the Cox proportional hazards frailty model. We formulate the likelihood functions based on piecewise constant hazards and derive the full conditional distributions for Gibbs sampling in the Bayesian paradigm. As opposed to the Cox frailty model, the proposed methods demonstrate great potential in modeling multivariate survival data with a cure fraction. We illustrate the cure rate frailty models with a root canal therapy data set.en_HK
dc.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOMen_HK
dc.relation.ispartofBiometricsen_HK
dc.subjectBayesian inferenceen_HK
dc.subjectCure fractionen_HK
dc.subjectFrailty modelen_HK
dc.subjectGibbs samplingen_HK
dc.subjectMultivariate failure time dataen_HK
dc.subjectProportional hazardsen_HK
dc.subject.meshBayes Theoremen_US
dc.subject.meshBiometry - Methodsen_US
dc.subject.meshData Interpretation, Statisticalen_US
dc.subject.meshHumansen_US
dc.subject.meshLikelihood Functionsen_US
dc.subject.meshModels, Statisticalen_US
dc.subject.meshMultivariate Analysisen_US
dc.subject.meshProportional Hazards Modelsen_US
dc.subject.meshRoot Canal Therapy - Methodsen_US
dc.subject.meshSensitivity And Specificityen_US
dc.subject.meshStatistics As Topic - Methodsen_US
dc.subject.meshStatistics, Nonparametricen_US
dc.subject.meshTime Factorsen_US
dc.subject.meshTooth Extractionen_US
dc.subject.meshTreatment Outcomeen_US
dc.titleBayesian cure rate frailty models with application to a root canal therapy studyen_HK
dc.typeArticleen_HK
dc.identifier.emailYin, G: gyin@hku.hken_HK
dc.identifier.authorityYin, G=rp00831en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1111/j.1541-0420.2005.040336.xen_HK
dc.identifier.pmid16011704-
dc.identifier.scopuseid_2-s2.0-20744434828en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-20744434828&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume61en_HK
dc.identifier.issue2en_HK
dc.identifier.spage552en_HK
dc.identifier.epage558+653en_HK
dc.identifier.isiWOS:000229893900027-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridYin, G=8725807500en_HK
dc.identifier.citeulike231748-

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