Hypothesis test

Benjamini-Hochberg Procedure (FDR Control)

The Benjamini-Hochberg (BH) procedure, introduced by Yoav Benjamini and Yosef Hochberg in 1995, controls the false discovery rate (FDR) — the expected proportion of false positives among all rejected hypotheses — rather than the probability of any false positive. By tolerating a controlled fraction of false discoveries, it delivers far greater power than family-wise error rate methods such as Bonferroni or Holm, which is why it has become the standard tool for large-scale simultaneous testing in genomics, neuroimaging, and other high-throughput fields.

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Sources

  1. Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B, 57(1), 289–300. DOI: 10.1111/j.2517-6161.1995.tb02031.x
  2. Benjamini, Y., & Yekutieli, D. (2001). The control of the false discovery rate in multiple testing under dependency. Annals of Statistics, 29(4), 1165–1188. DOI: 10.1214/aos/1013699998

Related methods

Referenced by

ScholarGateBenjamini-Hochberg Procedure (Benjamini-Hochberg False Discovery Rate Procedure). Retrieved 2026-06-04 from https://scholargate.app/tr/statistics/benjamini-hochberg-procedure