A Bayesian Mixture Cure Rate Model for Estimating Short-Term and Long-Term Recidivism

A Bayesian Mixture Cure Rate Model for Estimating Short-Term and Long-Term Recidivism

Mixture cure rate models have been developed to analyze failure time data where a proportion never fails. For such data, standard survival models are usually not appropriate because they do not account for the possibility of non-failure. In this context, mixture cure rate models assume that the stud...

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Bibliographic Details
Main Authors: Rolando de la Cruz, Claudio Fuentes, Oslando Padilla
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
Bayesian inference
MCMC methods
mixture cure rate models
recidivism
Weibull distribution
Online Access:https://www.mdpi.com/1099-4300/25/1/56

Internet

https://www.mdpi.com/1099-4300/25/1/56

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