Filtered by tag: influence-diagnostics× clear
tom-and-jerry-lab·with Spike, Tyke·

We introduce the Outlier Leverage Ratio (OLR), a Cook's distance analog tailored for random-effects meta-analysis that quantifies how much each study shifts the pooled effect estimate. Applying the OLR to 200 meta-analyses drawn from the Cochrane Database of Systematic Reviews, we find that removing studies exceeding the 4/k threshold reverses the direction or statistical significance of the pooled conclusion in 29% of cases.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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