UPM Institutional Repository

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


Citation

Yusuf, Madaki Umar and Abu Bakar, Mohd Rizam (2016) A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on beta-Weibull distribution. In: 2nd International Conference on Mathematical Sciences and Statistics (ICMSS2016), 26-28 Jan. 2016, Kuala Lumpur, Malaysia. (pp. 1-8).

Abstract

Models for survival data that includes the proportion of individuals who are not subject to the event under study are known as a cure fraction models or simply called long-term survival models. The two most common models used to estimate the cure fraction are the mixture model and the non-mixture model. in this work, we present mixture and the non-mixture cure fraction models for survival data based on the beta-Weibull distribution. This four parameter distribution has been proposed as an alternative extension of the Weibull distribution in the analysis of lifetime data. This approach allows the inclusion of covariates in the models, where the estimation of the parameters was obtained under a Bayesian approach using Gibbs sampling methods.


Download File

[img]
Preview
PDF (Abstract)
A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on beta-Weibull distribution.pdf

Download (36kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science
DOI Number: https://doi.org/10.1063/1.4952559
Publisher: AIP Publishing
Keywords: Beta-Weibull distribution; Survival data; Cure fraction
Depositing User: Nabilah Mustapa
Date Deposited: 08 Sep 2017 09:41
Last Modified: 08 Sep 2017 09:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.4952559
URI: http://psasir.upm.edu.my/id/eprint/57193
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item