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Outlier and influence diagnostics for meta-analysis.
- 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