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Optimal Design for Nonlinear Response Models: 53 (Chapman & Hall/CRC Biostatistics) - Tapa dura

Libro 36 de 155: Chapman & Hall/CRC Biostatistics

Fedorov, Valerii V.; Leonov, Sergei L.

 
9781439821510: Optimal Design for Nonlinear Response Models: 53 (Chapman & Hall/CRC Biostatistics)
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ISBN 10: 1439821518 ISBN 13: 9781439821510
Editorial: CRC Press, 2013

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Valerii Fedorov, PhD, is Vice President of Predictive Analytics, Innovation at Quintiles.

Sergei Leonov, PhD, is a Senior Principal Scientist at AstraZeneca.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
CRC Press
Año de publicación
2013
Idioma
Inglés
ISBN 10 
1439821518
ISBN 13 
9781439821510
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
402
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
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