The FGM Long-Term Bivariate Survival Copula Model: Modeling, Bayesian Estimation, and Case Influence Diagnostics

DOI10.1080/03610926.2012.725147zbMath1433.62285OpenAlexW2059363373MaRDI QIDQ4921631

Vicente G. Cancho, Francisco Louzada, Adriano K. Suzuki

Publication date: 13 May 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.725147

zbMATH Keywords

influence diagnosticsKullback-Leibler divergenceBayesian approachFarlie-Gumbel-Morgenstern copulalong-term survival

Mathematics Subject Classification ID

Survival analysis and censored data (62N99) Estimation in survival analysis and censored data (62N02)

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Uses Software

• WinBUGS

Cites Work

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• A comparison of frailty and other models for bivariate survival data
• Monte Carlo methods in Bayesian computation
• Parametric analysis for matched pair survival data
• A general hazard model for lifetime data in the presence of cure rate
• Fitting a multivariate failure time distribution
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
• Bayesian Measures of Model Complexity and Fit
• Bayesian analysis of outlier problems using divergence measures
• Cure rate models: A unified approach
• Bayesian survival analysis

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