A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on Beta-Weibull distribution

DOI10.1063/1.4952559zbMath1466.62400OpenAlexW2528477668MaRDI QIDQ4989300

Madaki Umar Yusuf, Mohd. Rizam B. abu Bakar

Publication date: 21 May 2021

Published in: AIP Conference Proceedings (Search for Journal in Brave)

Full work available at URL: http://psasir.upm.edu.my/id/eprint/57193/1/A%20Bayesian%20estimation%20on%20right%20censored%20survival%20data%20with%20mixture%20and%20non-mixture%20cured%20fraction%20model%20based%20on%20beta-Weibull%20distribution.pdf

zbMATH Keywords

right censored survival data

Mathematics Subject Classification ID

Censored data models (62N01) Reliability and life testing (62N05)

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• A generalized modified Weibull distribution for lifetime modeling
• Bayesian approach for joint longitudinal and time-to-event data with survival fraction
• Survival analysis. Techniques for censored and truncated data.
• General results for the beta Weibull distribution
• Cure fraction models using mixture and non-mixture models
• Non‐parametric Tests for Censored Data
• Closed form expressions for moments of the beta Weibull distribution
• Parametric Estimation of the Cure Fraction Based on BCH Model Using Left-Censored Data with Covariates
• A Generalization of the Weibull Distribution with Application to the Analysis of Survival Data
• BETA-NORMAL DISTRIBUTION AND ITS APPLICATIONS
• The beta exponentiated Weibull distribution
• A Generalization of the Gamma Distribution