A comparison study of models and fitting procedures for biphasic viral dynamics in HIV-1 infected patients treated with antiviral therapies.
The study of HIV dynamics is one of the most important developments in recent AIDS research. It has led to a new understanding of the pathogenesis of HIV infection. But, although important findings in HIV dynamics have been published in prestigious scientific journals in the last 5 years, the model-fitting procedures used in these publications have not been studied in any detail. In this paper, we evaluate the performance of four model-fitting procedures proposed and used in biphasic HIV dynamic data analysis via extensive Monte Carlo simulations. We propose some guidelines for practitioners to select an appropriate method for their own data analysis. Real data examples from an AIDS clinical trial are provided as illustrations.
Ding
A A
AA
Department of Mathematics, Northeastern University, Boston, Massachusetts 02115, USA.
Wu
H
H
D019380:Anti-HIV Agents / Q000627:therapeutic use*; D001699:Biometry; D002675:Child, Preschool; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D015658:HIV Infections / Q000188:drug therapy* / Q000821:virology*; D015497:HIV-1 / Q000187:drug effects / Q000302:isolation & purification; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008954:Models, Biological; D009010:Monte Carlo Method; D017711:Nonlinear Dynamics
D019380:Anti-HIV Agents