Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

Author(s): Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte

Published Online: 18 MAR 2008

Print ISBN: 9780470028643

Online ISBN: 9780470985533

DOI: 10.1002/9780470985533

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.

Table of contents

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  1. Part I: The Methods

  2. Part II: The Theory

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    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content

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