Run a leave-one-out sensitivity analysis: re-pool your meta-analysis without each study in turn and see which studies change the result or I².
About this tool
Re-pool a meta-analysis leaving out each study in turn to test robustness.
How to use Leave-One-Out Meta-analysis
- Paste one study per line with its ratio and CI, difference and CI, or effect and SE.
- Choose a random-effects or fixed-effect model.
- Review the table of pooled results with each study left out.
Worked example
Six trials pool to an odds ratio of 1.52 (1.22 to 1.89). Leaving out the largest effect shows whether the conclusion depends on that single trial.
What is a leave-one-out analysis for?
It is a sensitivity analysis that shows whether one study, often a small or high-risk one, drives the pooled result or the heterogeneity.
Should I remove an influential study?
Not on this basis alone. Report the analysis and look for a reason, such as risk of bias or a different population.
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