Frailty model and dependence structure for bivariate survival data

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 mul- tivariate 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.