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A Comparison Study of Models and Fitting Procedures for Biphasic Viral Dynamics in HIV‐1 Infected Patients Treated with Antiviral Therapies
Author(s) -
Ding A. Adam,
Wu Hulin
Publication year - 2000
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.0006-341x.2000.00293.x
Subject(s) - human immunodeficiency virus (hiv) , dynamics (music) , computer science , monte carlo method , clinical trial , experimental data , medicine , virology , statistics , psychology , mathematics , pathology , pedagogy
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.