Joint inference on HIV viral dynamics and immune suppression in presence of measurement errors.
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.
Wu
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L
Department of Statistics, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada. lang@stat.ubc.ca
Liu
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W
Hu
X J
XJ
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