Cumulative viral load as a predictor of CD4+ T-cell response to antiretroviral therapy using Bayesian statistical models

INTRODUCTION: There are Challenges in statistically modelling immune responses to longitudinal HIV viral load exposure as a function of covariates. We define Bayesian Markov Chain Monte Carlo mixed effects models to incorporate priors and examine the effect of different distributional assumptions. W...

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Detalles Bibliográficos
Autores principales: Sempa, Joseph B., Rossouw, Theresa M., Lesaffre, Emmanuel, Nieuwoudt, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853324/
https://www.ncbi.nlm.nih.gov/pubmed/31721805
http://dx.doi.org/10.1371/journal.pone.0224723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853324/
https://www.ncbi.nlm.nih.gov/pubmed/31721805
http://dx.doi.org/10.1371/journal.pone.0224723

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