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Bayesian Inference On Mixed-Effects Models With Skewed Distributions For Hiv Longitudinal Data, Ren Chen
Bayesian Inference On Mixed-Effects Models With Skewed Distributions For Hiv Longitudinal Data, Ren Chen
USF Tampa Graduate Theses and Dissertations
Statistical models have greatly improved our understanding of the pathogenesis of HIV-1 infection
and guided for the treatment of AIDS patients and evaluation of antiretroviral (ARV) therapies.
Although various statistical modeling and analysis methods have been applied for estimating the
parameters of HIV dynamics via mixed-effects models, a common assumption of distribution is
normal for random errors and random-effects. This assumption may lack the robustness against
departures from normality so may lead misleading or biased inference. Moreover, some covariates
such as CD4 cell count may be often measured with substantial errors. Bivariate clustered
(correlated) data are also commonly encountered in …