Modeling the presence of immunes by using the exponentiated-Weibull model

DOI10.1080/02664760120059200zbMath0991.62084OpenAlexW1997586220MaRDI QIDQ4540895

Heleno Bolfarine, Vicente G. Cancho

Publication date: 28 July 2002

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

Full work available at URL: https://doi.org/10.1080/02664760120059200

Mathematics Subject Classification ID

Bayesian inference (62F15) Testing in survival analysis and censored data (62N03)

Related Items (16)

Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach ⋮ The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes ⋮ The exponentiated Weibull distribution: a survey ⋮ Simple step-stress models with a cure fraction ⋮ An extended exponentiated-G-negative binomial family with threshold effect ⋮ A survival model for lifetime with long-term survivors and unobserved heterogeneity ⋮ A new class of bivariate Sushila distributions in presence of right-censored and cure fraction ⋮ The generalized exponential cure rate model with covariates ⋮ Bayesian and likelihood inference for cure rates based on defective inverse Gaussian regression models ⋮ A new long-term lifetime distribution induced by a latent complementary risk framework ⋮ Block and Basu bivariate lifetime distribution in the presence of cure fraction ⋮ Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution ⋮ Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data ⋮ The geometric Birnbaum-Saunders regression model with cure rate ⋮ The log-exponentiated Weibull regression model for interval-censored data ⋮ A new straightforward defective distribution for survival analysis in the presence of a cure fraction

Uses Software

• BUGS

Cites Work

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• Exponential mixture models with long-term survivors and covariates
• Inference from iterative simulation using multiple sequences
• The Exponentiated Weibull Family: A Reanalysis of the Bus-Motor-Failure Data
• Sampling-Based Approaches to Calculating Marginal Densities
• A log gamma model and its maximum likelihood estimation
• A Predictive Approach to Model Selection
• Bayes Factors

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