Statistical Methods for Meta-Analysis
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Book Overview
The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis, and we do not deal with these.
Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.
Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.
Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.
Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.
Format:Hardcover
Language:English
ISBN:0123363802
ISBN13:9780123363800
Release Date:August 1985
Publisher:Academic Press
Length:369 Pages
Weight:1.60 lbs.
Dimensions:1.2" x 6.3" x 9.3"
Customer Reviews
1 rating
masterpiece on meta-analyses
Published by Thriftbooks.com User , 17 years ago
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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