An Introduction to Optimal Designs for Social and Biomedical Research Contributor(s): Berger, Martijn P. F. (Author), Wong, Weng-Kee (Author) |
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ISBN: 0470694505 ISBN-13: 9780470694503 Publisher: Wiley OUR PRICE: $92.10 Product Type: Hardcover - Other Formats Published: July 2009 Annotation: This book makes the subject accessible with only basic knowledge of statistical methods and calculus required. Each chapter follows a similar, user-friendly pattern, introducing the statistical model, discussing design issues, and then developing the optimal design. Beginning by introducing the research, each subsequent chapter is dedicated to a specific design. The reader is guided from basic designs for simple linear models, through to designs for advanced repeated measures and nonlinear models. Practical examples and problems from relevant social and biomedical research further enhance the reader's understanding, while web-based resources are provided in a final, summarizing chapter. |
Additional Information |
BISAC Categories: - Social Science | Research - Psychology | Research & Methodology - Medical | Research |
Dewey: 300.72 |
LCCN: 2009008347 |
Series: Statistics in Practice |
Physical Information: 0.9" H x 6.2" W x 9.1" (1.35 lbs) 346 pages |
Descriptions, Reviews, Etc. |
Publisher Description: The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests. The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions. This Book:
Researchers and students studying social, behavioural and biomedical sciences will find this book useful for understanding design issues and in putting optimal design ideas to practice. |