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Meta Analysis

A Guide to Calibrating and Combining Statistical Evidence

By: Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte

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Paperback | 29 February 2008 | Edition Number 1

At a Glance

Paperback
288 Pages

Dimensions(cm)
22.91 x 15.37 x 1.73

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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.

Industry Reviews

"A book that offers an alternative, widely applicable, rigorously justified theory of meta-analysis." (Evidence Based Medicine, April 2009)

"The book is well written and includes many examples. The book provides an interesting angle on statistical inference by introducing the concept of ?evidence?. I enjoyed this concept very much." (Statistics in Medicine, May 2009)

"I found the book well written, reasonably complete, and easy to read ? .I recommend this book for both the new and experienced meta-analysts." (Journal of Biopharmaceutical Statistics, March 2009)

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