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Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors
Author(s) -
Wu L.,
Liu W.,
Hu X. J.
Publication year - 2010
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2009.01308.x
Subject(s) - inference , immune system , human immunodeficiency virus (hiv) , joint (building) , dynamics (music) , computer science , virology , computational biology , immunology , biology , artificial intelligence , physics , engineering , architectural engineering , acoustics
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.