Name
Abstract | ||
|---|---|---|
Modeling viral load response in long-term HIV dynamics is important for AIDS clinical study. It allows one to examine how a patient recuperates for an antiviral treatment. This paper investigates a discretization approach to the viral load based on a long-term HIV dynamic model. We propose a two-stage nonparametric procedure for estimating the viral load and the time-varying new productive virus. Simulation study shows that the proposed estimated methods are efficient and powerful for fitting long-term viral load measurements. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11424925_55 | ICCSA (4) |
Keywords | Field | DocType |
simulation study,discretization approach,long-term hiv dynamic,long-term hiv dynamic model,nonparametric modeling,aids clinical study,fitting long-term viral load,viral load response,antiviral treatment,viral load,patient recuperates | Viral load,Discretization,Mathematical optimization,Computer science,Nonparametric statistics,Clinical study | Conference |
Volume | ISSN | ISBN |
3483 | 0302-9743 | 3-540-25863-9 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianwei Chen | 1 | 0 | 0.34 |
| Jin-Ting Zhang | 2 | 9 | 3.20 |
| Hulin Wu | 3 | 78 | 6.62 |