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FDR — Benjamini-Hochberg Procedure for Multiple Testing

Hypothesis TestingAdvanced Topics🟢 Free Lesson

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False Discovery Rate (FDR) and Benjamini-Hochberg

Hypothesis Testing

Balancing Discovery and Error Control

The Benjamini-Hochberg procedure controls the expected proportion of false discoveries, offering more power than Bonferroni for large-scale testing. It is the standard method for genomics, neuroimaging, and high-dimensional data.

  • Genomics — Identifying differentially expressed genes while controlling false discoveries
  • Neuroscience — Analyzing brain imaging data with millions of statistical tests
  • Digital Advertising — Optimizing keyword testing at scale with FDR control

FDR control enables discovery without drowning in false positives.


The FDR is the expected proportion of rejected H₀s that are actually true (false discoveries):

The Benjamini-Hochberg (BH) procedure controls FDR at level q:


Python Implementation


Key Takeaways

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