Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors

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Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors

TitleJoint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors
Publication TypeJournal Article
Year of Publication2010
AuthorsWu, L, Liu, W, Hu, XJ
JournalBiometrics
Volume66
Pagination327–335
Date Publishedjun
ISSN1541-0420
KeywordsLaplace approximation, Longitudinal data, Mixed-effects, Nonlinear models, Time-to-event
AbstractSummary:  In an attempt to provide a tool to assess antiretroviral therapy and to monitor disease progression, this article studies association of human immunodeficiency virus (HIV) viral suppression and immune restoration. The data from a recent acquired immune deficiency syndrome (AIDS) study are used for illustration. We jointly model HIV viral dynamics and time to decrease in CD4/CD8 ratio in the presence of CD4 process with measurement errors, and estimate the model parameters simultaneously via a method based on a Laplace approximation and the commonly used Monte Carlo EM algorithm. The approaches and many of the points presented apply generally.
URLhttp://onlinelibrary.wiley.com/doi/10.1111/j.1541-0420.2009.01308.x/abstract
DOI10.1111/j.1541-0420.2009.01308.x