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5.0 out of 5 stars
masterpiece on meta-analyses, January 23, 2008
This review is from: Statistical Methods for Meta-Analysis (Hardcover)
Prior to the publication of this text in 1984, there was a scattered statistical literature on combining information from several data sources or experiments to produce stronger statistical analyses. The idea dates back to an early paper by R. A. Fisher for combining p-values.
Hedges and Olkin with this book provided a systematic and rigorous treatment of the subject. They had seen the technique being used (and sometimes abused) in the social sciences and in education in particular. This book was the first source to compile the results from a scattered literature into a systematic treatment of the classical statistical approach to meta-analysis. It is still the best source for the subject.
Today meta-analysis is common in studies in medical research. Similar Bayesian approaches through the use of Bayesian Hierarchical Models are also aimed at the same goals as meta-analysis. See for example the recent text by Stangl and Berry.
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