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Joint frailty model for recurrent events and death in presence of cure fraction: Application to breast cancer data

dc.rights.licenseopenen_US
dc.contributor.authorTALEBI-GHANE, E.
dc.contributor.authorBAGHESTANI, A.
dc.contributor.authorZAYERI, F.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorRONDEAU, Virginie
dc.contributor.authorAKHAVAN, A.
dc.date.accessioned2021-03-03T15:36:14Z
dc.date.available2021-03-03T15:36:14Z
dc.date.issued2020-12-28
dc.identifier.issn0323-3847en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/26408
dc.description.abstractEnIn many biomedical cohort studies, recurrent or repeated events for individuals can be terminated by a dependent terminal event like death. In this context, the time of death may be associated with the underlying recurrent process and there often exists the dependence between the occurrences of recurrent events. Moreover, there are some situations in which a portion of patients could be cured. In the present study, the term "cured" means that some patients may neither experience any recurrent events nor death induced by the disease under study. We proposed a joint frailty model in the presence of cure fraction for analysis of the recurrent and terminal events and estimated the effect of covariates on the cure rate and both aforementioned events concurrently. The use of two independent gamma distributed frailties in this model enabled us to consider both the dependence between the recurrences and the survival times and the interrecurrences dependence. The model parameters were estimated employing the maximum likelihood method for a piecewise constant and a parametric baseline hazard function. Our proposed model was evaluated by a simulation study and illustrated using a real data set on patients with breast cancer who had undergone surgery.
dc.language.isoENen_US
dc.title.enJoint frailty model for recurrent events and death in presence of cure fraction: Application to breast cancer data
dc.title.alternativeBiom Jen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/bimj.201900113en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed33368665en_US
bordeaux.journalBiometrical Journalen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03158213
hal.version1
hal.date.transferred2021-03-03T15:36:17Z
hal.exporttrue
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