Outlier and influence diagnostics for meta-analysis

✍ Scribed by Wolfgang Viechtbauer; Mike W.-L. Cheung

• Book ID: 102424847
• Publisher: John Wiley and Sons
• Year: 2010
• Tongue: English
• Weight: 203 KB
• Volume: 1
• Category: Article
• ISSN: 1759-2879
• DOI: 10.1002/jrsm.11

✦ Synopsis

The presence of outliers and influential cases may affect the validity and robustness of the conclusions from a metaanalysis. 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.