Tools / CHECK
Multiple-testing workbench
Apply the Benjamini–Hochberg step-up adjustment to a list of p-values.
Illustrative example
The result
Method & assumptions
BH controls the false discovery rate under independence and certain positive-dependence conditions; it is not a universal guarantee under arbitrary dependence. The tested family must be defined appropriately. Statistical significance does not establish practical importance.
Sanity check
For 0.01, 0.04, 0.03, the adjusted values in original order are 0.03, 0.04, 0.04.
Sort p-values ascending: p(1)…p(m) Adjusted p(i) = min[1, minj≥i (m/j)×p(j)] Compare adjusted p-values with the chosen threshold.
Implementation version 1.0 · 2026-10-15. Deterministic formulas or editorial rules, with no AI model or external service processing your inputs.
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