TY - Type of reference TI - Copulas and frailty models in multivariate survival data AU - Nesrine Idiou AU - Fatah Benatia AU - Mounir Mesbah AB - The study of copulas and their applications in statistics, and in particular in biostatistics, is recent. Copulas play a important role in the modeling of the dependence structure between the marginal distributions and the joint distribution of a vector random variable. In this article, we present a synthesis of recent works on this theory and its applications to the analysis of multivariate survival data. Finally, an application on bivariate survival data from the literature analyzed by the Proc Copula procedure of the SAS software, is given to illustrate a such approach. DO - 10.21494/ISTE.OP.2021.0618 JF - Biostatistics and Health Sciences KW - Copulas Survival Analysis, Frailty model, Dependence, Archimedian Copulas, Copules, Analyse de survie, Modèle à fragilité, Dépendance, Copules Archimédiennes, L1 - https://openscience.fr/IMG/pdf/iste_biostat21v2n1_2.pdf LA - en PB - ISTE OpenScience DA - 2021/03/1 SN - 2632-8291 TT - Copules et modèles avec variable de fragilité pour des données de survie multivariée UR - https://openscience.fr/Copulas-and-frailty-models-in-multivariate-survival-data IS - Issue 1 VL - 2 ER -