A Comparison Study of Models and Fitting Procedures for Biphasic Viral Dynamics in HIV-1 Infected Patients Treated with Antiviral Therapies
Article first published online: 25 MAY 2004
Volume 56, Issue 1, pages 293–300, March 2000
How to Cite
Ding, A. A. and Wu, H. (2000), A Comparison Study of Models and Fitting Procedures for Biphasic Viral Dynamics in HIV-1 Infected Patients Treated with Antiviral Therapies. Biometrics, 56: 293–300. doi: 10.1111/j.0006-341X.2000.00293.x
- Issue published online: 25 MAY 2004
- Article first published online: 25 MAY 2004
- Received June 1999. Revised April 1999. Accepted May 1999.
- AIDS modeling;
- HIV infection;
- Monte Carlo simulation;
- Nonlinear regression;
- Viral load
Summary. 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.