Open Access
August 2007 The Synthesis of Regression Slopes in Meta-Analysis
Betsy Jane Becker, Meng-Jia Wu
Statist. Sci. 22(3): 414-429 (August 2007). DOI: 10.1214/07-STS243

Abstract

Research on methods of meta-analysis (the synthesis of related study results) has dealt with many simple study indices, but less attention has been paid to the issue of summarizing regression slopes. In part this is because of the many complications that arise when real sets of regression models are accumulated. We outline the complexities involved in synthesizing slopes, describe existing methods of analysis and present a multivariate generalized least squares approach to the synthesis of regression slopes.

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Betsy Jane Becker. Meng-Jia Wu. "The Synthesis of Regression Slopes in Meta-Analysis." Statist. Sci. 22 (3) 414 - 429, August 2007. https://doi.org/10.1214/07-STS243

Information

Published: August 2007
First available in Project Euclid: 2 January 2008

zbMATH: 1246.62135
MathSciNet: MR2416817
Digital Object Identifier: 10.1214/07-STS243

Keywords: generalized least squares , Meta-analysis , multivariate , regression slopes

Rights: Copyright © 2007 Institute of Mathematical Statistics

Vol.22 • No. 3 • August 2007
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