On the Bayesian estimation and influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes

DOI10.1080/03610926.2015.1019150zbMath1365.62438OpenAlexW2330659334MaRDI QIDQ2979618

Bao Yiqi, Vicente G. Cancho, Francisco Louzada

Publication date: 25 April 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1019150

zbMATH Keywords

survival analysisBayesian estimationMarkov chain Monte Carlo (MCMC) methodcure fraction modelcase deletion influence diagnosticslatent failure causesWeibull-negative-binomial distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (2)

Bayesian modeling of multivariate loss reserving data based on scale mixtures of multivariate normal distributions: estimation and case influence diagnostics ⋮ A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data

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