Automatic data binning for improved visual diagnosis of pharmacometric models.
J Pharmacokinet Pharmacodyn
; 38(6): 861-71, 2011 Dec.
Article
en En
| MEDLINE
| ID: mdl-22042498
Visual Predictive Checks (VPC) are graphical tools to help decide whether a given model could have plausibly generated a given set of real data. Typically, time-course data is binned into time intervals, then statistics are calculated on the real data and data simulated from the model, and represented graphically for each interval. Poor selection of bins can easily lead to incorrect model diagnosis. We propose an automatic binning strategy that improves reliability of model diagnosis using VPC. It is implemented in version 4 of the MONOLIX: software.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Farmacología
/
Simulación por Computador
/
Presentación de Datos
/
Modelos Biológicos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
J Pharmacokinet Pharmacodyn
Asunto de la revista:
FARMACOLOGIA
Año:
2011
Tipo del documento:
Article
País de afiliación:
Francia
Pais de publicación:
Estados Unidos