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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorCASTEL, Charlotte
dc.contributor.authorSOMMEN, Cecile
dc.contributor.authorCHATIGNOUX, Edouard
dc.contributor.authorLE STRAT, Yann
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorALIOUM, Ahmadou
dc.date.accessioned2021-09-29T15:03:26Z
dc.date.available2021-09-29T15:03:26Z
dc.date.issued2021-08-13
dc.identifier.issn1557-4679en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/112489
dc.description.abstractEnSince the discovery of the human immunodeficiency virus (HIV) 35 years ago, the epidemic is still ongoing in France. To monitor the dynamics of HIV transmission and assess the impact of prevention campaigns, the main indicator is the incidence. One method to estimate the HIV incidence is based on biomarker values at diagnosis and their dynamics over time. Estimating the HIV incidence from biomarkers first requires modeling their dynamics since infection using external longitudinal data. The objective of the work presented here is to estimate the joint dynamics of two biomarkers from the PRIMO cohort. We thus jointly modeled the dynamics of two biomarkers (TM and V3) using a multi-response nonlinear mixed-effect model. The parameters were estimated using Bayesian Hamiltonian Monte Carlo inference. This procedure was first applied to the real data of the PRIMO cohort. In a simulation study, we then evaluated the performance of the Bayesian procedure for estimating the parameters of multi-response nonlinear mixed-effect models.
dc.language.isoENen_US
dc.subject.enHamiltonian Monte Carlo inference
dc.subject.enHIV biomarkers
dc.subject.enMulti-response model
dc.subject.enNonlinear mixed models
dc.title.enBayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
dc.typeArticle de revueen_US
dc.identifier.doi10.1515/ijb-2021-0030en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34391216en_US
bordeaux.journalInternational Journal of Biostatisticsen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03358938
hal.version1
hal.date.transferred2021-09-29T15:03:30Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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