เปรียบเทียบวิธี

	การแก้ไขแบบโฮล์ม (โฮล์ม-บอนเฟอร์โรนี)	ขั้นตอนวิธีเบนจามินี-โฮชเบิร์ก (การควบคุม FDR)
สาขาวิชา	สถิติศาสตร์	สถิติศาสตร์
ตระกูล	Hypothesis test	Hypothesis test
ปีกำเนิด	1979	1995
ผู้ริเริ่ม	Sture Holm	Yoav Benjamini & Yosef Hochberg
ประเภท	Family-wise error rate (FWER) correction	False discovery rate (FDR) procedure
แหล่งต้นตำรับ	Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70.	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.
ชื่อเรียกอื่น	Holm-Bonferroni method, Holm step-down procedure, Holm's sequentially rejective procedure, Holm düzeltmesi	BH procedure, FDR control, false discovery rate procedure, Benjamini-Hochberg düzeltmesi
ที่เกี่ยวข้อง	3	3
สรุป	The Holm correction, introduced by Sture Holm in 1979, is a step-down multiple-comparison procedure that controls the family-wise error rate (FWER) at level α while rejecting at least as many hypotheses as the classical Bonferroni correction. It orders the observed p-values from smallest to largest and compares each against a threshold that starts strict and relaxes as testing proceeds, making it uniformly more powerful than Bonferroni at the same level of error 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.