Comparison study of model evaluation methods: normalized prediction distribution errors vs. visual predictive check / 药学学报
Acta Pharmaceutica Sinica
;
(12): 1123-1131, 2011.
Artículo
en Chino
| WPRIM
| ID: wpr-233024
ABSTRACT
The objective of this study is to compare the normalized prediction distribution errors (NPDE) and the visual predictive check (VPC) on model evaluation under different study designs. In this study, simulation method was utilized to investigate the capability of NPDE and VPC to evaluate the models. Data from the false models were generated by biased parameter typical value or inaccurate parameter inter-individual variability after single or multiple doses with the same sampling time or multiple doses with varied sampling time, respectively. The results showed that there was no clear statistic test for VPC and it was difficult to make sense of VPC under the multiple doses with varied sampling time. However, there were corresponding statistic tests for NPDE and the factor of study design did not affect NPDE significantly. It suggested that the clinical data and model which VPC was not fit for could be evaluated by NPDE.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Simulación por Computador
/
Programas Informáticos
/
Farmacocinética
/
Preparaciones Farmacéuticas
/
Valor Predictivo de las Pruebas
/
Modelos Estadísticos
/
Dinámicas no Lineales
/
Metabolismo
/
Modelos Biológicos
Tipo de estudio:
Estudio pronóstico
/
Factores de riesgo
Límite:
Animales
/
Humanos
Idioma:
Chino
Revista:
Acta Pharmaceutica Sinica
Año:
2011
Tipo del documento:
Artículo
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