title: 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: Department of Statistics, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada. lang@stat.ubc.ca
authors: L
authors: L
authors: Wu
authors: W
authors: W
authors: Liu
authors: X J
authors: XJ
authors: Hu
mesh_terms: D000163:Acquired Immunodeficiency Syndrome; D000465:Algorithms; D016516:CD4-CD8 Ratio; D006678:HIV / Q000276:immunology / Q000502:physiology*; D006801:Humans; D007107:Immune System / Q000821:virology*; D009010:Monte Carlo Method; D013223:Statistics as Topic; D013997:Time Factors