Gamma shared frailty model based on reversed hazard rate for bivariate survival data

DOI10.1016/j.spl.2014.02.008zbMath1288.62150OpenAlexW2070244343MaRDI QIDQ2453894

Arvind Pandey, David D. Hanagal

Publication date: 11 June 2014

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2014.02.008

zbMATH Keywords

generalized log-logistic distributionBayesian estimationMCMCreversed hazard rateshared gamma frailty

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Estimation in survival analysis and censored data (62N02)

Related Items

Comparison of multiplicative frailty models under Weibull baseline distribution ⋮ Identifying the effects of observed and unobserved risk factors using weighted Lindley shared regression model ⋮ Proportional reversed hazard rates weighted frailty model ⋮ Shared frailty models with baseline generalized Pareto distribution ⋮ Correlated positive stable frailty models ⋮ Correlated inverse Gaussian frailty models for bivariate survival data ⋮ Correlated compound Poisson frailty models based on reversed hazard rate ⋮ Compound Poisson shared frailty models based on additive hazards ⋮ Mortality modeling under stochastic frailty ⋮ Weighted Lindley shared regression model for bivariate left censored data

Cites Work

• Unnamed Item
• Unnamed Item
• A Weibull regression model with gamma frailties for multivariate survival data
• On proportional reversed hazards frailty models
• On Bivariate Reversed Hazard Rates
• Gamma Frailty Regression Models in Mixture Distributions
• Multivariate Generalizations of the Proportional Hazards Model
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Bayesian Estimation of Parameters and Comparison of Shared Gamma Frailty Models
• The Reversed Hazard Rate Function
• Statistical models based on counting processes
• Bayesian survival analysis