Estimation and prediction with HIV-treatment interruption data.
Bull Math Biol
; 69(2): 563-84, 2007 Feb.
Article
en En
| MEDLINE
| ID: mdl-17211735
ABSTRACT
We consider longitudinal clinical data for HIV patients undergoing treatment interruptions. We use a nonlinear dynamical mathematical model in attempts to fit individual patient data. A statistically-based censored data method is combined with inverse problem techniques to estimate dynamic parameters. The predictive capabilities of this approach are demonstrated by comparing simulations based on estimation of parameters using only half of the longitudinal observations to the full longitudinal data sets.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Infecciones por VIH
/
Interpretación Estadística de Datos
/
VIH-1
/
Terapia Antirretroviral Altamente Activa
/
Modelos Biológicos
Tipo de estudio:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Bull Math Biol
Año:
2007
Tipo del documento:
Article
País de afiliación:
Estados Unidos