Destructive weighted Poisson cure rate models with bivariate random effects: Classical and Bayesian approaches

Diego I. Gallardo, Heleno Bolfarine and Antonio Carlos Pedroso-de-Lima

Computational Statistics & Data Analysis, 2016, vol. 98, issue C, 31-45

Abstract: 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.

Keywords: REML; Dirichlet process; Competing risks (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:98:y:2016:i:c:p:31-45

DOI: 10.1016/j.csda.2015.12.006

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