Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers
| dc.rights.license | open | en_US |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | CASTEL, Charlotte | |
| dc.contributor.author | SOMMEN, Cecile | |
| dc.contributor.author | CHATIGNOUX, Edouard | |
| dc.contributor.author | LE STRAT, Yann | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | ALIOUM, Ahmadou | |
| dc.date.accessioned | 2021-09-29T15:03:26Z | |
| dc.date.available | 2021-09-29T15:03:26Z | |
| dc.date.issued | 2021-08-13 | |
| dc.identifier.issn | 1557-4679 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/112489 | |
| dc.description.abstractEn | Since 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.iso | EN | en_US |
| dc.subject.en | Hamiltonian Monte Carlo inference | |
| dc.subject.en | HIV biomarkers | |
| dc.subject.en | Multi-response model | |
| dc.subject.en | Nonlinear mixed models | |
| dc.title.en | Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers | |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1515/ijb-2021-0030 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| dc.identifier.pubmed | 34391216 | en_US |
| bordeaux.journal | International Journal of Biostatistics | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.team | BIOSTAT_BPH | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| hal.identifier | hal-03358938 | |
| hal.version | 1 | |
| hal.date.transferred | 2021-09-29T15:03:30Z | |
| hal.export | true | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Biostatistics&rft.date=2021-08-13&rft.eissn=1557-4679&rft.issn=1557-4679&rft.au=CASTEL,%20Charlotte&SOMMEN,%20Cecile&CHATIGNOUX,%20Edouard&LE%20STRAT,%20Yann&ALIOUM,%20Ahmadou&rft.genre=article |
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