Automatic data binning for improved visual diagnosis of pharmacometric models.
J Pharmacokinet Pharmacodyn
; 38(6): 861-71, 2011 Dec.
Article
em En
| MEDLINE
| ID: mdl-22042498
ABSTRACT
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
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Farmacologia
/
Simulação por Computador
/
Apresentação de Dados
/
Modelos Biológicos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
J Pharmacokinet Pharmacodyn
Assunto da revista:
FARMACOLOGIA
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
França