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An Introduction to Optimal Designs for Social and Biomedical Research
Contributor(s): Berger, Martijn P. F. (Author), Wong, Weng-Kee (Author)
ISBN: 0470694505     ISBN-13: 9780470694503
Publisher: Wiley
OUR PRICE:   $92.10  
Product Type: Hardcover - Other Formats
Published: July 2009
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
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:

  • Introduces optimal experimental design in an accessible format.
  • Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce a study's costs.
  • Discusses the merits of optimal designs and compares them with commonly used designs.
  • Takes the reader from simple linear regression models to advanced designs for multiple linear regression and nonlinear models in a systematic manner.
  • Illustrates design techniques with practical examples from social and biomedical research to enhance the reader's understanding.

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.