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An Introduction to Optimal Designs for Social and Biomedical Research

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An Introduction to Optimal Designs for Social and Biomedical Research

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  • An Introduction to Optimal Designs for Social and Biomedical Research on Hardback by Martijn P.F. Berger
  • An Introduction to Optimal Designs for Social and Biomedical Research on Hardback by Martijn P.F. Berger
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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; and, 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.

Author Biography:

Martijn Berger, Department of Methodology and Statistics, University of Maastricht, The Netherlands Professor Berger has been teaching and conducting research in this area for over 20 years. He has an extensive collection of publications to his name, including articles in a wide range of journals, a contributed chapter in Wiley's recent Encyclopedia of Statistics in Behavioural Science, and the 2005 book Applied Optimal Designs, co-authored with Weng Kee Wong. Weng Kee Wong, Department of Biostatistics, University of California - Los Angeles, USA One of the leading experts in the US working in this field, Professor Wong is currently conducting grant-funded research into making optimal design methods more accessible for practitioners. As well as co-authoring Applied Optimal Designs, he has published over a hundred refereed articles, in numerous journals. He has held the position of Associate Editor for many such journals, including a current, second 3-year term for Biometrics.
Release date Australia
May 28th, 2009
Audience
  • Professional & Vocational
Pages
346
Dimensions
159x235x24
ISBN-13
9780470694503
Product ID
3040760

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