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Outlier and influence diagnostics for meta-analysis.

Authors :
Viechtbauer W
Cheung MW
Source :
Research synthesis methods [Res Synth Methods] 2010 Apr; Vol. 1 (2), pp. 112-25. Date of Electronic Publication: 2010 Oct 04.
Publication Year :
2010

Abstract

The presence of outliers and influential cases may affect the validity and robustness of the conclusions from a meta-analysis. While researchers generally agree that it is necessary to examine outlier and influential case diagnostics when conducting a meta-analysis, limited studies have addressed how to obtain such diagnostic measures in the context of a meta-analysis. The present paper extends standard diagnostic procedures developed for linear regression analyses to the meta-analytic fixed- and random/mixed-effects models. Three examples are used to illustrate the usefulness of these procedures in various research settings. Issues related to these diagnostic procedures in meta-analysis are also discussed. Copyright © 2010 John Wiley & Sons, Ltd.<br /> (Copyright © 2010 John Wiley & Sons, Ltd.)

Details

Language :
English
ISSN :
1759-2879
Volume :
1
Issue :
2
Database :
MEDLINE
Journal :
Research synthesis methods
Publication Type :
Academic Journal
Accession number :
26061377
Full Text :
https://doi.org/10.1002/jrsm.11