A clustering cure rate model with application to a sealant study

DOI10.1080/02664763.2016.1267116OpenAlexW2561974038MaRDI QIDQ5138760

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

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1267116

zbMATH Keywords

EM algorithmDirichlet processescompeting risksrestricted maximum likelihoodbivariate random effectslatent activation scheme

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Conditional Akaike information under generalized linear and proportional hazards mixed models
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• Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models
• Likelihood Ratio Testing of Variance Components in the Linear Mixed-Effects Model Using Restricted Maximum Likelihood
• Bayesian Density Estimation and Inference Using Mixtures
• Variance Components Testing in the Longitudinal Mixed Effects Model
• Flexible Cure Rate Modeling Under Latent Activation Schemes
• Cure rate models: A unified approach
• Identifiability of cure models

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