Destructive weighted Poisson cure rate models with bivariate random effects: Classical and Bayesian approaches
Diego Ignacio Gallardo, Heleno Bolfarine, Antonio Carlos Pedroso-de-Lima · Computational Statistics & Data Analysis · 2015
In this paper, random effects are included in the destructive weighted Poisson cure rate model. For parameter estimation we implemented a classical approach based on the restricted maximum likelihood (REML) methodology and a Bayesian approach based on Dirichlet process priors. A small scale simulation study is conducted to discuss parameter recovery and the performance of the proposed methodology is illustrated with a real data example.