|Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors
|Year of Publication
|Wu, L, Liu, W, Hu, XJ
|Laplace approximation, Longitudinal data, Mixed-effects, Nonlinear models, Time-to-event
|Summary: 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.