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dc.rights.licenseopenen_US
dc.contributor.authorJAZIC, I.
dc.contributor.authorHANEUSE, S.
dc.contributor.authorFRENCH, B.
dc.contributor.authorMACGROGAN, G.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorRONDEAU, Virginie
dc.date.accessioned2020-06-24T07:44:59Z
dc.date.available2020-06-24T07:44:59Z
dc.date.issued2019-09-30
dc.identifier.issn1097-0258 (Electronic) 0277-6715 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/8122
dc.description.abstractEnThe process by which patients experience a series of recurrent events, such as hospitalizations, may be subject to death. In cohort studies, one strategy for analyzing such data is to fit a joint frailty model for the intensities of the recurrent event and death, which estimates covariate effects on the two event types while accounting for their dependence. When certain covariates are difficult to obtain, however, researchers may only have the resources to subsample patients on whom to collect complete data: one way is using the nested case-control (NCC) design, in which risk set sampling is performed based on a single outcome. We develop a general framework for the design of NCC studies in the presence of recurrent and terminal events and propose estimation and inference for a joint frailty model for recurrence and death using data arising from such studies. We propose a maximum weighted penalized likelihood approach using flexible spline models for the baseline intensity functions. Two standard error estimators are proposed: a sandwich estimator and a perturbation resampling procedure. We investigate operating characteristics of our estimators as well as design considerations via a simulation study and illustrate our methods using two studies: one on recurrent cardiac hospitalizations in patients with heart failure and the other on local recurrence and metastasis in patients with breast cancer.
dc.language.isoENen_US
dc.subject.enBiostatistics
dc.title.enDesign and analysis of nested case-control studies for recurrent events subject to a terminal event
dc.title.alternativeStat Meden_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/sim.8302en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed31290191en_US
bordeaux.journalStatistics in Medicineen_US
bordeaux.page4348-4362en_US
bordeaux.volume38en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue22en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamBIOSTAT_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03163194
hal.version1
hal.date.transferred2021-03-09T09:27:06Z
hal.exporttrue
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Statistics%20in%20Medicine&rft.date=2019-09-30&rft.volume=38&rft.issue=22&rft.spage=4348-4362&rft.epage=4348-4362&rft.eissn=1097-0258%20(Electronic)%200277-6715%20(Linking)&rft.issn=1097-0258%20(Electronic)%200277-6715%20(Linking)&rft.au=JAZIC,%20I.&HANEUSE,%20S.&FRENCH,%20B.&MACGROGAN,%20G.&RONDEAU,%20Virginie&rft.genre=article


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