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