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

Authors:
Kayode Ogungbenro;Gordon Graham;Ivelina Gueorguieva;Leon Aarons
Affiliations:
Centre for Applied Pharmacokinetic Research (CAPKR), The University of Manchester, Oxford Road, Manchester M13 9PL, UK;Novartis Pharma AG, Lichtstrasse 35, Basel 4052, Switzerland;Centre for Applied Pharmacokinetic Research (CAPKR), The University of Manchester, Oxford Road, Manchester M13 9PL, UK;School of Pharmacy and Pharmaceutical Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
Venue:
Computer Methods and Programs in Biomedicine
Year:
2005

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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.