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Frailty model and dependence structure for bivariate survival data

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  • Nesrine Idiou

  • Fatah Benatia

  • Mounir Mesbah

Abstract

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.

Suggested Citation

  • Nesrine Idiou & Fatah Benatia & Mounir Mesbah, 2025. "Frailty model and dependence structure for bivariate survival data," Croatian Review of Economic, Business and Social Statistics, Croatian Statistical Association, vol. 11(2), pages 1-12.
    • Handle: RePEc:cro:crebss:v:11:y:2025:i:2:p:1-12:id:37098
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