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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Gallardo, Diego I. [1] ; Bolfarine, Heleno [2] ; Pedroso-de-Lima, Antonio Carlos [2]
Total Authors: 3
Affiliation:
[1] Univ Antofagasta, Fac Ciencias Basicas, Dept Matemat, Antofagasta - Chile
[2] Univ Sao Paulo, Inst Matemat & Estatist, Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: COMPUTATIONAL STATISTICS & DATA ANALYSIS; v. 98, p. 31-45, JUN 2016.
Web of Science Citations: 1
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. (C) 2015 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 13/23684-2 - Extending the Destructive Negative Binomial cure rate model with a latent activation scheme.
Grantee:Diego Ignacio Gallardo Mateluna
Support Opportunities: Scholarships in Brazil - Post-Doctoral