Gemeda Bedaso Buta

Bayesian Joint Modelling of Disease Progression Marker and Time to Death Event of HIV/AIDS Patients under ART Follow-up

Gemeda Bedaso Buta, Ayele Taye Goshu & Hailemichael M. Worku · Journal of Advances in Medicine and Medical Research · 2014

Objectives: To develop separate and joint statistical models in the Bayesian framework for longitudinal measurements and time to death event data of HIV/AIDS patients. Study design: Longitudinal study. Place and Duration of Study: The population of study includes all HIV/AIDS pat...

Open access Research Article 10.9734/BJMMR/2015/12907

Missclassification of HIV Disease Stages with Continuous Time Hidden Markov Models

Tatek Getachew Habtemichael, Ayele Taye Goshu & Gemeda Bedaso Buta · Journal of Advances in Medicine and Medical Research · 2018

The purpose of this study is to explore the simple Markov and Hidden Markov models with continuous time to investigate disease progression of HIV/AIDS patients under ART follow-up at Shashemene Referral Hospital, Ethiopia. The msm R package is used for the analysis. Results from...

Open access Research Article 10.9734/JAMMR/2018/39428

Bayesian Joint Modelling of Survival of HIV/AIDS Patients Using Accelerated Failure Time Data and Longitudinal CD4 Cell Counts

Markos Abiso Erango, Ayele Taye Goshu, Gemeda Bedaso Buta & Ahmed Hassen Dessiso · Journal of Advances in Medicine and Medical Research · 2017

Objective: This paper aims to compare various Bayesian joint models based on the accelerated failure time distributions in analyzing longitudinal observations on CD4 cell counts as growth measurements and time-to-death events of HIV/AIDS patients. Three accelerated failure time d...

Open access Research Article 10.9734/BJMMR/2017/32123