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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
Contributor(s): Kulinskaya, Elena (Author), Morgenthaler, Stephan (Author), Staudte, Robert G. (Author)

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 ISBN: 0470028645     ISBN-13: 9780470028643
Publisher: Wiley-Interscience
OUR PRICE: $94.00  

Binding Type: Paperback - See All Available Formats & Editions
Published: April 2008
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Annotation: "Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence" acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.
The book is comprised of two parts - "The Handbook," and "The Theory." "The Handbook" is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. "The Theory" provides the motivation, theory and results of simulation experiments to justify the methodology.
This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

Click for more in this series: Wiley Series in Probability and Statistics
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Medical | Research
Dewey: 610.727
LCCN: 2007045548
Series: Wiley Series in Probability and Statistics
Physical Information: 0.64" H x 6.05" W x 8.91" L (0.93 lbs) 282 pages
Features: Bibliography, Illustrated, Index, Table of Contents
Review Citations: Scitech Book News 06/01/2008 pg. 76
 
Descriptions, Reviews, Etc.
Publisher Description:
Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.

The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.

This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.
 
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