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  -