Analyzing progression of diseases is vital to monitor patient's traversal over time through a disease. Clinical study settings present modeling challenges, as patients' disease trajectories are only partially observed, and patients' disease statuses are only assessed at clinic vi...
Open access
Research Article10.9734/arrb/2019/v31i330049
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 Article10.9734/JAMMR/2018/39428
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 Article10.9734/BJMMR/2017/32123
Background: Disease morbidity, mortality and speed of spread vary substantially spatially. These have important implications for effective planning and targeting intervention strategies. The purpose of this study was to model the spatial dependence of fever prevalence and suspect...
Open access
Research Article10.9734/IJTDH/2016/13191
Background: Several factors may affect heart failure status of patients. It is important to investigate whether or not the effects are direct. The purpose of this study was learning Bayesian networks that encode the joint probability distribution for a set of random variables. Me...
The purpose of this study was to investigate the impact of risk factors on the death of patients with heart failure in a cohort of patients hospitalized with heart failure disease. In this paper we used chi-square tests with the aim of studying the relationship of each factor wit...
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 Article10.9734/BJMMR/2015/12907