Izvorni znanstveni članak
https://doi.org/10.62366/crebss.2025.2.001
Frailty model and dependence structure for bivariate survival data
Nesrine Idiou
; Salah Boubnider University of Constantine 3, Department of Process Engineering, Algeria
*
Fatah Benatia
; Mohamed Khider University of Biskra, Department of Mathematics, Algeria
Mounir Mesbah
; University of Sorbonne, Department of Theoretical and Applied Statistics Laboratory, France
* Dopisni autor.
Sažetak
Copulas and their uses in statistics, namely biostatistics, are a relatively new field of research. When modeling the dependence structure between a vector random variable's joint distribution and marginal distributions, copulas are crucial. In this article, we discuss recent research on this theory and how it can potentially used to analyze multivariate survival data. Lastly, an example of such a method is shown using an application on bivariate survival data from research that was examined using the SAS software's Proc Copula approach.
Ključne riječi
Archimedian copulas; dependence; frailty model; survival analysis
Hrčak ID:
342025
URI
Datum izdavanja:
22.12.2025.
Posjeta: 547 *