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Chapman & Hall/CRC Biostatistics #53: Optimal Design for Nonlinear Response Models

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Synopses & Reviews

Synopsis:

This book examines the theory of optimal model-based design and provides examples of optimal designs for various models, mostly related to biopharmaceutical applications, such as dose-response studies. The authors pay special attention to adaptive or sequential optimal designs for nonlinear regression models when estimation and optimal design are performed in stages. Ideal for researchers in regression analysis and experimental design, the text illustrates optimal designs for various models using an example of the application of a first-order optimization algorithm in the space of information matrices, which is implemented in both MATLABA(R) and SAS.

Product Details

ISBN:
9781439821510
Author:
Fedorov, Valerii V.
Publisher:
CRC Press
Author:
Leonov, Sergei L.
Subject:
Probability & Statistics - General
Subject:
Pharmacology
Subject:
Mathematics | Probability and Statistics
Series:
Chapman & Hall/CRC Biostatistics
Publication Date:
20130731
Binding:
Hardcover
Language:
English
Pages:
300

Related Subjects

Health and Self-Help » Health and Medicine » Pharmacology
Reference » College » Guides
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics
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Chapman & Hall/CRC Biostatistics #53: Optimal Design for Nonlinear Response Models New Hardcover
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Product details 300 pages CRC Press - English 9781439821510 Reviews:
"Synopsis" by , This book examines the theory of optimal model-based design and provides examples of optimal designs for various models, mostly related to biopharmaceutical applications, such as dose-response studies. The authors pay special attention to adaptive or sequential optimal designs for nonlinear regression models when estimation and optimal design are performed in stages. Ideal for researchers in regression analysis and experimental design, the text illustrates optimal designs for various models using an example of the application of a first-order optimization algorithm in the space of information matrices, which is implemented in both MATLABA(R) and SAS.
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