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Outlier and influence diagnostics for meta-analysis.

Author information

Affiliations

  • 1. Department of Methodology and Statistics, Maastricht University, Maastricht, The Netherlands.
      Authors
    • Viechtbauer W 1
    (1 author)
  • 2. Department of Psychology, National University of Singapore, Singapore, Singapore.
      Authors
    • Cheung MW 2
    (1 author)

ORCIDs linked to this article

Research Synthesis Methods, 01 Apr 2010, 1(2):112-125
https://doi.org/10.1002/jrsm.11 PMID: 26061377 

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.

Full text links 

Read article at publisher's site: https://doi.org/10.1002/jrsm.11

References 

Articles referenced by this article (40)

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