Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte, "Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence"
2008 | pages: 272 | ISBN: 0470028645 | PDF | 2,3 mb
2008 | pages: 272 | ISBN: 0470028645 | PDF | 2,3 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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