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The use of a modified Fedorov exchange algorithm to optimise sampling times for population pharmacokinetic experiments.

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.

journal_name

Comput Methods Programs Biomed

journal_title

Computer methods and programs in biomedicine

authors

Ogungbenro K,Graham G,Gueorguieva I,Aarons L

doi

10.1016/j.cmpb.2005.07.001

subject

Has Abstract

pub_date

2005-11-01 00:00:00

pages

115-25

issue

2

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(05)00146-X

journal_volume

80

pub_type

杂志文章

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