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Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines

dc.rights.licenseopenen_US
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorALEXANDRE, Marie
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorPRAGUE, Melanie
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIEBAUT, Rodolphe
dc.date.accessioned2023-06-26T14:41:05Z
dc.date.available2023-06-26T14:41:05Z
dc.date.issued2021-07-04
dc.identifier.issn0962-2802en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/182836
dc.description.abstractEnIn clinical trials, longitudinal data are commonly analyzed and compared between groups using a single summary statistic such as area under the outcome versus time curve (AUC). However, incomplete data, arising from censoring due to a limit of detection or missing data, can bias these analyses. In this article, we present a statistical test based on splines-based mixed-model accounting for both the censoring and missingness mechanisms in the AUC estimation. Inferential properties of the proposed method were evaluated and compared to ad hoc approaches and to a non-parametric method through a simulation study based on two-armed trial where trajectories and the proportion of missing data were varied. Simulation results highlight that our approach has significant advantages over the other methods. A real working example from two HIV therapeutic vaccine trials is presented to illustrate the applicability of our approach.
dc.language.isoENen_US
dc.title.enBetween-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines
dc.typeArticle de revueen_US
dc.identifier.doi10.1177/09622802211023963en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34218746en_US
bordeaux.journalStatistical Methods in Medical Researchen_US
bordeaux.volume30en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue9en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamSISTM_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Statistical%20Methods%20in%20Medical%20Research&rft.date=2021-07-04&rft.volume=30&rft.issue=9&rft.eissn=0962-2802&rft.issn=0962-2802&rft.au=ALEXANDRE,%20Marie&PRAGUE,%20Melanie&THIEBAUT,%20Rodolphe&rft.genre=article


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