A review of multistate modelling approaches in monitoring disease progression: Bayesian estimation using the Kolmogorov-Chapman forward equations

Z Matsena Zingoni, TF Chirwa… - Statistical methods in …, 2021 - journals.sagepub.com
There are numerous fields of science in which multistate models are used, including
biomedical research and health economics. In biomedical studies, these stochastic …

A hidden absorbing semi-markov model for informatively censored temporal data: Learning and inference

AM Alaa, M Van Der Schaar - Journal of Machine Learning Research, 2018 - jmlr.org
Modeling continuous-time physiological processes that manifest a patient's evolving clinical
states is a key step in approaching many problems in healthcare. In this paper, we develop …

HIV disease progression among antiretroviral therapy patients in Zimbabwe: a multistate Markov model

Z Matsena Zingoni, TF Chirwa, J Todd… - Frontiers in public …, 2019 - frontiersin.org
Background: Antiretroviral therapy (ART) impact has prolonged survival of people living with
HIV. We evaluated HIV disease progression among ART patients using routinely collected …

Effectiveness of antiretroviral treatment on the transition probability of immunological state of HIV/AIDS patients: A Markov chain model on the Iranian “National …

A Mirahmadizadeh, M Sharafi… - BioMed Research …, 2023 - Wiley Online Library
Antiretroviral therapy (ART) has improved survival and clinical course amongst HIV/AIDS
patients. CD4 cell count is one of the most critical indicators of the disease progression. With …

Modeling of HIV/AIDS dynamic evolution using non-homogeneous semi-markov process

ZG Dessie - SpringerPlus, 2014 - Springer
The purpose of this study is to model the progression of HIV/AIDS disease of an individual
patient under ART follow-up using non-homogeneous semi-Markov processes. The model …

Markov modelling of viral load adjusting for CD4 orthogonal variable and multivariate conditional autoregressive mapping of the HIV immunological outcomes among …

Z Matsena Zingoni, TF Chirwa, J Todd… - Theoretical Biology and …, 2021 - Springer
Background This study aimed to jointly model HIV disease progression patterns based on
viral load (VL) among adult ART patients adjusting for the time-varying “incremental …

[PDF][PDF] Comparison of sojourn time distributions in modeling HIV/AIDS disease progression

TF Asena, AT Goshu - Biometrical Letters, 2017 - sciendo.com
An application of semi-Markov models to AIDS disease progression was utilized to find best
sojourn time distributions. We obtained data on 370 HIV/AIDS patients who were under …

[PDF][PDF] Estimating Sojourn Time and Transition between Clinical States of HIV Patients under ART Follow up in Namibia

SP Kashihalwa, L Pazvakawambwa… - Asian Journal of …, 2023 - researchgate.net
Background: Sojourn time refers to the amount of time a HIV patient spends in each clinical
state in a single stay before he/she makes a transition to another state. HIV can be broken …

Application of a 2 Parameter Weibull Distribution in Modeling of State Holding Time in HIV/AIDS Transition Dynamics

N Mwirigi - Open Journal of Modelling and Simulation, 2024 - scirp.org
This study investigates the application of the two-parameter Weibull distribution in modeling
state holding times within HIV/AIDS progression dynamics. By comparing the performance of …

An Application of Homogenous Semi-Markov Model for Assessing HIV/AIDS Progression to ART Patients in Namibia

SP Kashihalwa, J Mwanyekange… - Asian Journal of …, 2023 - research.sdpublishers.net
Background: The progression of HIV infection to AIDS and then to death can be considered
a stochastic process. Disease progression can be broken down into a finite number of …