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Systematic Reviews and Meta-Analysis$
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Julia H. Littell, Jacqueline Corcoran, and Vijayan Pillai

Print publication date: 2008

Print ISBN-13: 9780195326543

Published to Oxford Scholarship Online: January 2009

DOI: 10.1093/acprof:oso/9780195326543.001.0001

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Effect Size Metrics and Pooling Methods

Effect Size Metrics and Pooling Methods

Chapter:
(p.79) 5 Effect Size Metrics and Pooling Methods
Source:
Systematic Reviews and Meta-Analysis
Author(s):

Julia H. Littell

Jacqueline Corcoran

Vijayan Pillai

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195326543.003.0005

This chapter covers the meanings and measures of effect size (ES), focusing on common effect size measures. Confidence intervals are used to capture the precision of ES estimates. Corrections for clustering, dependencies, and other problems are considered. The use of Forrest plots and different pooling methods are described. Finally, measures of heterogeneity of effects across studies — and ways to handle this heterogeneity — are explored.

Keywords:   confidence intervals, clustering, dependencies, fixed effect, random effects, heterogeneity, Forrest plots

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