A Bayesian analysis of the Conway-Maxwell-Poisson cure rate model
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Publication:434401
DOI10.1007/s00362-010-0326-5zbMath1244.62030OpenAlexW2013297556MaRDI QIDQ434401
Mário de Castro, Josemar Rodrigues, Vicente G. Cancho
Publication date: 10 July 2012
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-010-0326-5
survival analysisWeibull distributionConway-Maxwell-Poisson (COM-Poisson) distributionlong-term survival models
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Estimation in survival analysis and censored data (62N02)
Related Items
Analysis of discrete data by Conway-Maxwell Poisson distribution, Application of the full Bayesian significance test to model selection under informative sampling, Bayesian modeling for a new cure rate model based on the Nielsen distribution, An EM algorithm for the destructive COM-Poisson regression cure rate model, Fully semiparametric Bayesian approach for modeling survival data with cure fraction, The Weibull-Conway-Maxwell-Poisson distribution to analyze survival data, A COM-Poisson-type generalization of the negative binomial distribution, The Poisson-inverse-Gaussian regression model with cure rate: a Bayesian approach and its case influence diagnostics
Uses Software
Cites Work
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