A clustering cure rate model with application to a sealant study

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

Journal of Applied Statistics, 2017, vol. 44, issue 16, 2949-2962

Abstract: In this paper, the destructive negative binomial (DNB) cure rate model with a latent activation scheme [V. Cancho, D. Bandyopadhyay, F. Louzada, and B. Yiqi, The DNB cure rate model with a latent activation scheme, Statistical Methodology 13 (2013b), pp. 48–68] is extended to the case where the observations are grouped into clusters. Parameter estimation is performed based on the restricted maximum likelihood approach and on a Bayesian approach based on Dirichlet process priors. An application to a real data set related to a sealant study in a dentistry experiment is considered to illustrate the performance of the proposed model.

Date: 2017
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DOI: 10.1080/02664763.2016.1267116

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