Cure fraction models using mixture and non-mixture models

DOI10.2478/v10127-012-0001-4zbMath1313.62137OpenAlexW2064388004MaRDI QIDQ2913231

Emílio A. Coelho-Barros, Josmar Mazucheli, Jorge Alberto Achcar

Publication date: 26 September 2012

Published in: Tatra Mountains Mathematical Publications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10127-012-0001-4

zbMATH Keywords

Weibull distributionmixture modellifetime datacure fractionnon-mixture model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Reliability and life testing (62N05)

Related Items (7)

Discrete and continuous bivariate lifetime models in presence of cure rate: a comparative study under Bayesian approach ⋮ Firth adjusted score function for monotone likelihood in the mixture cure fraction model ⋮ Mixture and Non-Mixture Cure Fraction Models Based on Generalized Gompertz Distribution under Bayesian Approach ⋮ Modified score function for monotone likelihood in the semiparametric mixture cure model ⋮ Bayesian solution to the monotone likelihood in the standard mixture cure model ⋮ A new class of bivariate Sushila distributions in presence of right-censored and cure fraction ⋮ A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on Beta-Weibull distribution

Uses Software

• SAS

Cites Work

• Unnamed Item
• Unnamed Item
• Survival analysis. Techniques for censored and truncated data
• Sampling-Based Approaches to Calculating Marginal Densities
• Bayesian Measures of Model Complexity and Fit

This page was built for publication: Cure fraction models using mixture and non-mixture models