Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

✍ Scribed by Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte

• Book ID: 127450357
• Publisher: Wiley-Interscience
• Year: 2008
• Tongue: English
• Weight: 3 MB
• Series: Wiley Series in Probability and Statistics
• Category: Library
• ISBN-13: 9780470028643

✦ Synopsis

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.