Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte “Meta Analysis:

A Guide to Calibrating and Combining Statistical Evidence”

Wiley-Interscience | 2008-04-25 | ISBN: 0470028645 | 282 pages | PDF | 2,4 Mb 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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