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CRC Press Optimal Design for Nonlinear Response Models - Book 53

85 black & white illustrations, 24 black

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Description

Optimal Design for Nonlinear Response Models provides a deep look into the theory and practical applications of model-based experimental design. This volume, part of the Chapman and Hall/CRC Biostatistics series, is built on the extensive professional experience of the authors within both academia and the pharmaceutical industry. While the primary focus remains on nonlinear models, the text establishes a solid foundation by explaining key concepts through the use of linear models. Readers will learn how to apply linearization in the parameter space to transition into more complex modeling. The content covers a wide range of essential topics, including locally optimal designs, minimax designs, optimal on average designs, and Bayesian designs. This book is specifically tailored for those working in biopharmaceutical studies, offering a specialized perspective on how to approach experimental design in a clinical and industrial context. It serves as a comprehensive resource for understanding how to manage nonlinear response models effectively in professional research settings.

Key Features

Covers theory and applications of model-based experimental design with a focus on biopharmaceutical studies.

Provides a foundational understanding by using linear models to explain key concepts before moving to nonlinear topics.

Explains the process of applying linearization in the parameter space for advanced modeling.

Includes detailed information on locally optimal designs, minimax, and optimal on average designs.

Discusses Bayesian designs to provide a broad range of statistical approaches for researchers.

Draws on years of practical experience from authors in both the pharmaceutical industry and academia.

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