False Discovery Rate / FDR
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
In a large number of hypothesis tests, the proportion of false positives among the findings reported as significant.
SCAFFOLDING EFFECT
Reduce cognitive load
When testing multiple hypotheses simultaneously, p<0.05 is not enough—need to control the overall FDR.
Anchor fast decisions
In multiple hypothesis testing, the proportion of incorrectly rejected null hypotheses among all rejected hypotheses, used to control the overall false positive rate in large-scale testing.
MINIMUM ACTION
In progress 0/3Practice this model in one real situation:
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E5%81%BD%E7%99%BC%E7%8F%BE%E7%8E%87verified
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