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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. <\/jats:p>","DOI":"10.1177\/09622802211023963","type":"journal-article","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T03:43:30Z","timestamp":1625456610000},"page":"2130-2147","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Between-group comparison of area under the curve in clinical trials with censored follow-up: Application to HIV therapeutic vaccines"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3557-7075","authenticated-orcid":false,"given":"Marie","family":"Alexandre","sequence":"first","affiliation":[{"name":"University of Bordeaux, Inria Bordeaux Sud-Ouest, Inserm, Bordeaux Population Health Research Center, SISTM Team, France"},{"name":"Data Science Division, Vaccine Research Institute (VRI), Cr\u00e9teil, 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