Modeling Bivariate Survival Data Based on Copulas

Autor(es) e Instituição: 
Adriano Kamimura Suzuki - Universidade Federal de São Carlos
Francisco Louzada Neto - Universidade Federal de São Carlos
Vicente Garibay Cancho - Universidade de São Paulo
Apresentador: 
Adriano Kamimura Suzuki

We propose the use of long-term models as marginal distributions of bivariate survival times with dependence function modeled by copulas, obtaining a straightforwardly extension of the model proposed by Romeo et al (2006) and a more appropriate model for The Diabetic Retinopathy Study Research Group (1976) data.