Analyzing Longitudinal CD4 Counts and Survival in HIV Patients: A Bayesian Joint Model Approach in Fars Province

Understanding HIV/AIDS Progression in Fars Province Through Bayesian Joint Modeling: Analysis and Insights Introduction The battle against HIV/AIDS remains a critical focus in public health, with ongoing research… The post <p><strong>Analyzing Longitudinal CD4 Counts and Survival in HIV Patients: A Bayesian Joint Model Approach in Fars Province</strong></p> appeared first on NewsyList. Source link

Evaluation of factors related to longitudinal CD4 count and the risk of death among HIV-infected patients using Bayesian joint models | BMC Public Health

This research employed a Bayesian joint model to explore the relationship between the risk of mortality and the longitudinal changes in the CD4 biomarker, aiming to identify the factors influencing the survival of individuals infected with HIV. The joint model revealed a significant correlation between CD4 cell counts and mortality risk, indicating that a one-unit … Read more