All frameworks and cheat sheets

Reference table

Bonferroni vs Holm vs Benjamini-Hochberg on ten p-values

One segment sweep, four ways of deciding which results to keep

Table applying no correction, Bonferroni, Holm and Benjamini-Hochberg to ten sorted p-values: six kept uncorrected, one by Bonferroni and Holm, three by BH
The same ten p-values give six findings, one or three, depending on which error rate you choose to control.

A worked example of three multiple comparisons corrections on the same ten p-values from a segment sweep. With no correction six results pass 0.05. Bonferroni and Holm, which control the family-wise error rate, keep only the smallest. Benjamini-Hochberg, which controls the false discovery rate, keeps three. Use it to choose a correction: family-wise control when one false positive is costly, false discovery rate when you are screening for leads.

Where this appears

What's in this reference table

Rank and p-valueUncorrectedBonferroniHolmBenjamini-Hochberg
Threshold0.050.05/100.05/(11-i)i/10 x 0.05
1st: 0.002keepkeep (vs 0.005)keep (vs 0.0050)keep (vs 0.005)
2nd: 0.009keepdropdrop (vs 0.0056)keep (vs 0.010)
3rd: 0.012keepdropdropkeep (vs 0.015)
4th: 0.031keepdropdropdrop (vs 0.020)
5th: 0.038keepdropdropdrop
6th: 0.049keepdropdropdrop
7th: 0.061dropdropdropdrop
8th to 10th: 0.140+dropdropdropdrop

Use this image

Free to use in your docs, decks and posts under CC BY 4.0, as long as you credit Koji with a link to this page. To embed it, paste this into your page:

html
<a href="https://www.koji.so/visuals/bonferroni-holm-benjamini-hochberg-worked-example"><img src="https://www.koji.so/visuals/bonferroni-holm-benjamini-hochberg-worked-example/bonferroni-holm-benjamini-hochberg-worked-example.png" alt="Table applying no correction, Bonferroni, Holm and Benjamini-Hochberg to ten sorted p-values: six kept uncorrected, one by Bonferroni and Holm, three by BH" width="1200" height="909" /></a>
<p>Source: <a href="https://www.koji.so/visuals/bonferroni-holm-benjamini-hochberg-worked-example">Bonferroni vs Holm vs Benjamini-Hochberg on ten p-values</a>, Koji</p>