Optimal Design for Nonlinear Response Models (Hardcover)
Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2013
- Hardcover
- New
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Hardcover. 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 MATLAB(R) and SAS. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9781439821510
- Title
- Optimal Design for Nonlinear Response Models (Hardcover)
- Author
- Valerii V. Fedorov
- Publisher
- Taylor & Francis Inc, Bosa Roca
- Publication year
- 2013
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1439821518
- ISBN 13
- 9781439821510
- Series
- Book 36 of 155: Chapman & Hall/CRC Biostatistics
Optimal Design for Nonlinear Response Models discusses the theory and applications of model-based experimental design with a strong emphasis on biopharmaceutical studies. The book draws on the authors’ many years of experience in academia and the pharmaceutical industry.
While the focus is on nonlinear models, the book begins with an explanation of the key ideas, using linear models as examples. Applying the linearization in the parameter space, it then covers nonlinear models and locally optimal designs as well as minimax, optimal on average, and Bayesian designs. The authors also discuss adaptive designs, focusing on procedures with non-informative stopping.
The common goals of experimental design―such as reducing costs, supporting efficient decision making, and gaining maximum information under various constraints―are often the same across diverse applied areas. Ethical and regulatory aspects play a much more prominent role in biological, medical, and pharmaceutical research. The authors address all of these issues through many examples in the book.
"Synopsis" may belong to another edition of this title.
About the Author
Valerii Fedorov, PhD, is Vice President of Predictive Analytics, Innovation at Quintiles.
Sergei Leonov, PhD, is a Senior Principal Scientist at AstraZeneca.
"About the title" may belong to another edition of this title.
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