Markos Abiso Erango

Survival Time Analysis of Hypertension Patients Using Parametric Models

Markos Abiso Erango, Kabtamu Tolosie Gergiso & Sultan Hussen Hebo · Advances in Research · 2019

Background: Hypertension is a worldwide public-health challenge and one of a leading modifiable risk factor for cardiovascular disease and death. Aims: The aim of this study was compare parameter estimations using both Bayesian and classical approaches and to detect out potential...

Open access Research Article 10.9734/air/2019/v20i230155

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

Evaluation of the Trend of CD4 Cell Count Over Time in Case of HIV/AIDS Patients under ART Follow-up

Kabtamu Tolosie Gergiso & Markos Abiso Erango · Journal of Scientific Research and Reports · 2019

Background: Globally 36.7 million people living with HIV, 1.8 million new HIV infection, and 1 million AIDS-related deaths in 2016.Patient mortality was high during the first 6 months after therapy for all patient subgroups and exceeded 40 per 100 patient years among patients who...

Open access Research Article 10.9734/jsrr/2019/v24i530167