Optimal Design of Dose Response Experiments: A Model-Oriented Approach

We discuss optimal experimental design issues for nonlinear models arising in dose response studies. The optimization is performed with respect to various criteria which depend on the Fisher information matrix. Special attention is given to models with a variance component that depends on unknown pa...

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Bibliographic Details
Published inDrug information journal Vol. 35; no. 4; pp. 1373 - 1383
Main Authors Fedorov, Valerii V., Leonov, Sergei L.
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.10.2001
Pergamon Press
Springer Nature B.V
Subjects
Biological and medical sciences
Clinical trial. Drug monitoring
Design of experiments
Experimental design
Fisher information
General pharmacology
Medical sciences
Optimization
Pharmacology. Drug treatments
Locally optimal designs
Variance depending on unknown parameters
Dose response
Optimal design of experiments
Nonlinear regression models
Regression model
Statistical model
Clinical trial
Nonlinearity
Optimal design(statistics)
Variance
Dose activity relation
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Summary:We discuss optimal experimental design issues for nonlinear models arising in dose response studies. The optimization is performed with respect to various criteria which depend on the Fisher information matrix. Special attention is given to models with a variance component that depends on unknown parameters.
ISSN:2168-4790
0092-8615
2168-4804
2164-9200
DOI:10.1177/009286150103500433