Sigma&Mu: Journal of Mathematics, Statistics and Data Science
Vol. 1 No. 1 (2023): March

Cured Fraction Models on Survival Data and Covariates with a Bayesian Parametric Estimation Methods

Madaki, Umar Yusuf (Unknown)
Babura, Babangida Ibrahim (Unknown)
Sani, Muhammad (Unknown)
Abdullahi, Ibrahim (Unknown)



Article Info

Publish Date
31 Mar 2023

Abstract

A cure fraction models are usually meant for survival data that contains a proportion of non subject individuals for the event under study. In order to estimate the cure fraction, two models namely mixture model and non-mixture model were commonly deployed. In this work, mixture and non-mixture cure fraction models were presented with survival data structure based on the beta-Weibull distribution. The beta-Weibull distribution is a four parameter distribution developed in this work as an alternative extension to the Weibull distribution in the analysis of lifetime data. The proposed extension allows the inclusion of covariates analysis in the model, in which the estimation of parameters were done under Bayesian approach using Gibbs sampling methods

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Journal Info

Abbrev

sigmamu

Publisher

Subject

Education Mathematics

Description

Sigma&Mu: Journal of Mathematics, Statistics and Data Science is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of mathematics, statistics, and data sciences. As an important academic exchange platform, scientists and researchers can know ...