Interpretation of tests of heterogeneity and bias in meta-analysis.

By John P. A. Ioannidis. Journal of Evaluation In Clinical Practice, 2008

632 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/594dd151c8e047c9dce16e6dcf25138128f9b06b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. S. Cortese
2. B. Roberts

In Statistics and Probability

1. P. Hill
2. S. Cortese
3. Philip I. Chow
4. Jing Luo
5. Daniel A. Briley
6. B. Roberts
7. J. Stevenson
8. R. Su

Citations in the corpus

• A Systematic Review of Personality Trait Change Through Intervention (2017, background): “Most critically, Ioannidis (2008) argued that when effect sizes are even moderately heterogeneous, regression-based tests are “inappropriate, meaningless, or both” (p. 954).”
• Nonpharmacological interventions for ADHD: systematic review and meta-analyses of randomized controlled trials of dietary and psychological treatments. (2013, background): “Given the relatively small number of methodologically sound studies, the field is not yet mature enough for the investigation of publication bias using funnel plots—the interpretation of which, moreover, is equivocal when based on a small number of studies (29).”