Joint inference on HIV viral dynamics and immune suppression in presence of measurement errors.

Abstract

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.

• Authors: L Wu, W Liu, X J Hu
• Journal: Biometrics (Biometrics) Vol. 66 Issue 2 Pg. 327-35 (Jun 2010) ISSN: 1541-0420 [Electronic] United States
• PMID: 19673859 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)

Topics

• Acquired Immunodeficiency Syndrome
• Algorithms
• CD4-CD8 Ratio
• HIV (immunology, physiology)
• Humans
• Immune System (virology)
• Monte Carlo Method
• Statistics as Topic
• Time Factors