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About this product
Product Identifiers
PublisherCRC Press LLC
ISBN-101439821518
ISBN-139781439821510
eBay Product ID (ePID)92351050
Product Key Features
Number of Pages402 Pages
LanguageEnglish
Publication NameOptimal Design for Nonlinear Response Models
Publication Year2013
SubjectProbability & Statistics / General, Probability & Statistics / Regression Analysis, Pharmacology, Research & Methodology, Mathematical Analysis
TypeTextbook
Subject AreaMathematics, Science, Medical
AuthorSergei L. Leonov, Valerii V. Fedorov
FormatHardcover
Dimensions
Item Height2.2 in
Item Weight24.1 Oz
Item Length9.3 in
Item Width6.3 in
Additional Product Features
Intended AudienceCollege Audience
Dewey Edition22
IllustratedYes
Dewey Decimal519.536
Table Of ContentRegression Models and Their Analysis. Convex Design Theory. Algorithms and Numerical Techniques. Optimal Design under Constraints. Nonlinear Response Models. Locally Optimal Designs in Dose Finding. Examples of Optimal Designs in PK/PD Studies. Adaptive Model-Based Designs. Other Applications of Optimal Designs. Useful Matrix Formulae. Bibliography. Index.
SynopsisOptimal 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.