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Robustness of optimal designs for the Michaelis-Menten model under a variation of criteria

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  • Dette, Holger
  • Kiss , Christine
  • Wong, Weng Kee

Abstract

The Michaelis-Menten model has and continues to be one of the most widely used models in many diverse fields. In the biomedical sciences, the model continues to be ubiquitous in biochemistry, enzyme kinetics studies, nutrition science and in the pharmaceutical sciences. Despite its wide ranging applications across disciplines, design issues for this model are given short shrift. This paper focuses on design issues and provides a variety of optimal designs of this model. In addition, we evaluate robustness properties of the optimal designs under a variation in optimality criteria. To facilitate use of optimal design ideas in practice, we design a web site for generating and comparing dfferent types of tailor-made optimal designs and user-supplied designs for the Michaelis-Menten and related models.

Suggested Citation

  • Dette, Holger & Kiss , Christine & Wong, Weng Kee, 2008. "Robustness of optimal designs for the Michaelis-Menten model under a variation of criteria," Technical Reports 2008,23, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200823
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    References listed on IDEAS

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    1. Dette, Holger & Biedermann, Stefanie, 2003. "Robust and Efficient Designs for the Michaelis-Menten Model," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 679-686, January.
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