Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
Copyright © 2008 John Wiley & Sons, Ltd
Author(s): Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte
Published Online: 18 MAR 2008
Print ISBN: 9780470028643
Online ISBN: 9780470985533
Book Series: Wiley Series in Probability and Statistics
Series Editor(s): Walter A. Shewhart, Samuel S. Wilks
About this Book
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.