A general method to determine sampling windows for nonlinear mixed effects models with an application to population pharmacokinetic studies.
Pharm Stat
; 11(4): 325-33, 2012.
Article
en En
| MEDLINE
| ID: mdl-22411749
ABSTRACT
Optimal design methods have been proposed to determine the best sampling times when sparse blood sampling is required in clinical pharmacokinetic studies. However, the optimal blood sampling time points may not be feasible in clinical practice. Sampling windows, a time interval for blood sample collection, have been proposed to provide flexibility in blood sampling times while preserving efficient parameter estimation. Because of the complexity of the population pharmacokinetic models, which are generally nonlinear mixed effects models, there is no analytical solution available to determine sampling windows. We propose a method for determination of sampling windows based on MCMC sampling techniques. The proposed method attains a stationary distribution rapidly and provides time-sensitive windows around the optimal design points. The proposed method is applicable to determine sampling windows for any nonlinear mixed effects model although our work focuses on an application to population pharmacokinetic models.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Recolección de Muestras de Sangre
/
Monitoreo de Drogas
/
Modelos Biológicos
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Pharm Stat
Asunto de la revista:
FARMACOLOGIA
Año:
2012
Tipo del documento:
Article
País de afiliación:
Nueva Zelanda