Optimal designs for discriminating between some extensions of the Michaelis-Menten model

DOI10.1016/j.jspi.2008.01.014zbMath1146.62057OpenAlexW2085711790MaRDI QIDQ951036

Chiara Tommasi, Jesús López-Fidalgo, Paula Camelia Trandafir

Publication date: 29 October 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.01.014

zbMATH Keywords

efficiencypharmacokinetic models\(T\)-optimalitycompound designs

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) General nonlinear regression (62J02) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Related Items (13)

Optimum Experimental Designs for Choosing Between Competitive and Non Competitive Models of Enzyme Inhibition ⋮ Max-min optimal discriminating designs for several statistical models ⋮ Optimum designs for the equality of parameters in enzyme inhibition kinetic models ⋮ Fitting the Michaelis-Menten model ⋮ Optimal designs for discriminating between dose-response models in toxicology studies ⋮ Adaptive grid semidefinite programming for finding optimal designs ⋮ Block designs robust against the presence of positional effects ⋮ Bayesian optimum designs for discriminating between models with any distribution ⋮ Optimal Design Robust to a Misspecified Model ⋮ A semi-infinite programming based algorithm for determining T-optimum designs for model discrimination ⋮ Optimal design to discriminate between rival copula models for a bivariate binary response ⋮ Optimal exact designs of experiments via mixed integer nonlinear programming ⋮ Optimal experimental design for physicochemical models: a partial review

Cites Work

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• Übersichtsarbeiten
• Optimal Design for Goodness-of-Fit of the Michaelis–Menten Enzyme Kinetic Function

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