Statistical Science

The Synthesis of Regression Slopes in Meta-Analysis

Betsy Jane Becker and Meng-Jia Wu

Full-text: Open access

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.

Article information

Source
Statist. Sci. Volume 22, Number 3 (2007), 414-429.

Dates
First available in Project Euclid: 2 January 2008

Permanent link to this document
https://projecteuclid.org/euclid.ss/1199285041

Digital Object Identifier
doi:10.1214/07-STS243

Mathematical Reviews number (MathSciNet)
MR2416817

Zentralblatt MATH identifier
1246.62135

Keywords
Generalized least squares multivariate meta-analysis regression slopes

Citation

Becker, Betsy Jane; Wu, Meng-Jia. The Synthesis of Regression Slopes in Meta-Analysis. Statist. Sci. 22 (2007), no. 3, 414--429. doi:10.1214/07-STS243. https://projecteuclid.org/euclid.ss/1199285041


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