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Research Article Open access CC BY 4.0

A Study on Modelling of Bivariate Competing Risks with Archimedean Copulas

Cigdem Topcu Guloksuz

Archives of Current Research International · pp. 14–21 · Published 29 Apr 2021

10.9734/acri/2021/v21i230229

Abstract

In this study we consider Archimedean copula functions to obtain estimates of cause-specific distribution functions in bivariate competing risks set up. We assume that two failure times of the same group are dependent and this dependency can be modeled by an Archimedean copula. Based on the Archimedean copula which gives best fit to the competing risk data with independent censoring we obtain the estimates of cause specific sub distributions.

Archimedean copulas cause specific distribution cumulative incidence function competing risks nonparametric estimation

Cited by 1

Competing Risks with Common Shocks: Joint Survival, Copulas, Censoring, Frailty, and Marshall-Olkin Models

C. D. Correa-Álvarez, Mario Cesar Jarramillo-Elorza, O. Bru-Cordero · De Computis · 2026

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