The use of a modified Fedorov exchange algorithm to optimise sampling times for population pharmacokinetic experiments.
Comput Methods Programs Biomed
; 80(2): 115-25, 2005 Nov.
Article
en En
| MEDLINE
| ID: mdl-16139390
ABSTRACT
We propose a new algorithm for optimising sampling times for population pharmacokinetic experiments using D-optimality. The algorithm was used in conjunction with the population Fisher information matrix as implemented in MATLAB (PFIM 1.1 and 1.2) to evaluate population pharmacokinetic designs. The new algorithm based on the classical Fedorov exchange algorithm optimises the determinant of the population Fisher information matrix. The performance of the new algorithm has been compared with other existing algorithms including simplex, simulated annealing and adaptive random search. The new algorithm performed better especially when dealing with complex designs at the expense of longer computing times.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Farmacocinética
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Comput Methods Programs Biomed
Asunto de la revista:
INFORMATICA MEDICA
Año:
2005
Tipo del documento:
Article
País de afiliación:
Reino Unido