A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database
Hayala Cristina Cavenague de Souza, Francisco Louzada, Pedro Luiz Ramos, Mauro R. Oliveira, Gleici da Silva Castro Perdoná
Abstract
This paper aims to discuss the Bayesian estimation approach for the zero-inflated cure class of models, which extends the standard cure model by accommodating zero-inflated data in the survival analysis context. A comprehensive simulation study is carried out to assess the performance of the estimation procedure. A new estimation methodology is illustrated using a real dataset related to women diagnosed with invasive cervical cancer in Brazil.
Topics & Concepts
Bayesian probabilityContext (archaeology)Zero (linguistics)Computer scienceCervical cancerEstimationBayes estimatorCure rateStatisticsCancerArtificial intelligenceMathematicsMedicineSurgeryEngineeringPhilosophyLinguisticsInternal medicineSystems engineeringBiologyPaleontologyStatistical Methods and InferenceStatistical Methods in Clinical TrialsGenetic and phenotypic traits in livestock