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dc.rights.licenseopenen_US
dc.contributor.authorETZKORN, Lacey H
dc.contributor.authorCOENT, Quentin Le
dc.contributor.authorVAN DEN BOOGAARD, Mark
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorRONDEAU, Virginie
ORCID: 0000-0001-7109-4831
IDREF: 16662988X
dc.contributor.authorCOLANTUONI, Elizabeth
dc.date.accessioned2024-06-27T13:17:33Z
dc.date.available2024-06-27T13:17:33Z
dc.date.issued2024-05-30
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200674
dc.description.abstractEnJoint models linking longitudinal biomarkers or recurrent event processes with a terminal event, for example, mortality, have been studied extensively. Motivated by studies of recurrent delirium events in patients receiving care in an intensive care unit (ICU), we devise a joint model for a recurrent event process and multiple terminal events. Being discharged alive from the ICU or experiencing mortality may be associated with a patient's hazard of delirium, violating the assumption of independent censoring. Moreover, the direction of the association between the hazards of delirium and mortality may be opposite of the direction of association between the hazards of delirium and ICU discharge. Hence treating either terminal event as independent censoring may bias inferences. We propose a competing joint model that uses a latent frailty to link a patient's recurrent and competing terminal event processes. We fit our model to data from a completed placebo-controlled clinical trial, which studied whether Haloperidol could prevent death and delirium among ICU patients. The clinical trial served as a foundation for a simulation study, in which we evaluate the properties, for example, bias and confidence interval coverage, of the competing joint model. As part of the simulation study, we demonstrate the shortcomings of using a joint model with a recurrent delirium process and a single terminal event to study delirium in the ICU. Lastly, we discuss limitations and possible extensions for the competing joint model. The competing joint model has been added to frailtypack, an R package for fitting an assortment of joint models.
dc.language.isoENen_US
dc.subject.enCompeting Events
dc.subject.enDelirium
dc.subject.enFrailty
dc.subject.enJoint Models
dc.subject.enRecurrent Events
dc.title.enA joint frailty model for recurrent and competing terminal events: Application to delirium in the ICU
dc.title.alternativeStat Meden_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/sim.10053en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed38564224en_US
bordeaux.journalStatistics in Medicineen_US
bordeaux.page2389-2402en_US
bordeaux.volume43en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue12en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDNational Institutes of Healthen_US
hal.identifierhal-04627421
hal.version1
hal.date.transferred2024-06-27T13:17:35Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Statistics%20in%20Medicine&rft.date=2024-05-30&rft.volume=43&rft.issue=12&rft.spage=2389-2402&rft.epage=2389-2402&rft.eissn=1097-0258&rft.issn=1097-0258&rft.au=ETZKORN,%20Lacey%20H&COENT,%20Quentin%20Le&VAN%20DEN%20BOOGAARD,%20Mark&RONDEAU,%20Virginie&COLANTUONI,%20Elizabeth&rft.genre=article


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