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A new algorithm for computing the parameters of linear compartment models in pharmacokinetics

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Summary

A new algorithm (FADHA) for computing pharmacokinetic parameter estimates has been developped.

This technique is based on the simplex method which is used to minimize a nonlinear cost function. An important property of this program is that the convergence is ensured contrary to the well-known linear or nonlinear least-squares regression analysis which lead to a lack of convergence or to a false one. Two investigations of the comparative performances of FADHA program and other algorithms were undertaken (hexamethylmelamine and Piracetam ® pharmacokinetics). Least square analysis of data yielded biased estimates whereas FADHA estimates were unbiased and more precise. This new technique, takes into account all the possible observation errors and uses the concept of a weighting function rather than weights as such.

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Authors and Affiliations

  1. Institut de Pharmacie, Laboratoire de Chimie Analytique et de Toxicologie, Université Libre de Bruxelles, Campus Plaine, CP 205/1, Bd du Triomphe, 1050, Bruxelles, Belgique

    F. Abikhalil, J. Dubois & M. Hanocq

  2. Institut Jules Bordel, Laboratoire de Chimiothérapie expérimentale et de Screening, Université Libre de Bruxelles, Belgium

    F. Abikhalil, J. Dubois & G. Atassi

Authors
  1. F. Abikhalil
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  2. J. Dubois
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  3. M. Hanocq
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  4. G. Atassi
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Abikhalil, F., Dubois, J., Hanocq, M. et al. A new algorithm for computing the parameters of linear compartment models in pharmacokinetics. European Journal of Drug Metabolism and Pharmacokinetics 11, 51–59 (1986). https://doi.org/10.1007/BF03189775

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  • DOI: https://doi.org/10.1007/BF03189775

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