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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSABATHE, Camille
dc.contributor.authorANDERSEN, P. K.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHELMER, Catherine
dc.contributor.authorGERDS, T. A.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJACQMIN-GADDA, Helene
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJOLY, Pierre
dc.date.accessioned2021-02-16T13:29:44Z
dc.date.available2021-02-16T13:29:44Z
dc.date.issued2020
dc.identifier.issn1477-0334 (Electronic) 0962-2802 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/26252
dc.description.abstractEnPseudo-values provide a method to perform regression analysis for complex quantities with right-censored data. A further complication, interval-censored data, appears when events such as dementia are studied in an epidemiological cohort. We propose an extension of the pseudo-value approach for interval-censored data based on a semi-parametric estimator computed using penalised likelihood and splines. This estimator takes interval-censoring and competing risks into account in an illness-death model. We apply the pseudo-value approach to three mean value parameters of interest in studies of dementia: the probability of staying alive and non-demented, the restricted mean survival time without dementia and the absolute risk of dementia. Simulation studies are conducted to examine properties of pseudo-values based on this semi-parametric estimator. The method is applied to the French cohort PAQUID, which included more than 3,000 non-demented subjects, followed for dementia for more than 25 years.
dc.language.isoENen_US
dc.subjectLEHA
dc.subjectBiostatistics
dc.title.enRegression analysis in an illness-death model with interval-censored data: A pseudo-value approach
dc.title.alternativeStat Methods Med Resen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1177/0962280219842271en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed30991888en_US
bordeaux.journalStatistical Methods in Medical Researchen_US
bordeaux.page752-764en_US
bordeaux.volume29en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.teamLEHA_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03142996
hal.version1
hal.date.transferred2021-02-16T13:29:48Z
hal.exporttrue
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