Lookup NU author(s): Professor John Matthews
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Many reactions in enzymology are governed by the Michaelis-Menten equation. Characterising these reactions requires the estimation of the parameters KM and Vmax which determine the Michaelis-Menten equation and this is done by observing rates of reactions at a set of substrate concentrations. The choice of substrate concentrations is investigated by determining Bayesian D-optimal designs for a model in which residuals have a normal distribution with constant variance. Designs which focus on alternative quantities, such as KM or the ratio Vmax/KM are also considered. The effect on the optimal designs of alternative error distributions is also considered. Copyright © 2004 John Wiley & Sons, Ltd.
Author(s): Matthews JNS, Allock GC
Publication type: Article
Publication status: Published
Journal: Statistics in Medicine
ISSN (print): 0277-6715
ISSN (electronic): 1097-0258
Publisher: John Wiley & Sons Ltd
PubMed id: 14748040
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