The Identifiability of Copula Models for Dependent Competing Risks Data With Exponentially Distributed Margins
Antai Wang · Statistica Sinica · 2021
In this paper, we prove the identifiability property of Archimedean copula models for dependent competing risks data when at least one of the failure times is exponentially distributed.With this property, it becomes possible to quantify the dependence between competing events based on exponentially distributed dependent censored data.We demonstrate our estimation procedure using simulation studies and illustrate the estimation procedure by applying it to a survival data.