After the publication of this article [1] it was noticed that in the Sequential methods for multiple-testing correction subsection of the Introduction, the description of the Hochberg-correction contains an error.
The correct paragraph is: The Hochberg-correction, also called the step-up method, is based on a reverse scenario when the largest p-value is examined first. Once a significant p-value is identified, all the remaining smaller p-values would be declared significant (13). For example, if n = 500, the largest p-values are 0.3, 0.05, 0.01, and α = 0.05, the following adjustments are concluded:
- Rank#1: 0.3 * 1 = 0.3, 0.3 > 0.05, the test is not significant
- Rank#2: 0.05 * 2 = 0.1, 0.1 > 0.05, the test is not significant
- Rank#3: 0.01 * 3 = 0.03, 0.03 < 0.05, the test is significant, reject the hull hypothesis, and all of the remaining p-values will be significant after correction.
The authors have stated that the online tool developed for multiple hypothesis testing corrections at www.multipletesting.com employs the correct Hochberg step-up algorithm.
Reference
- 1. Menyhart O, Weltz B, Győrffy B (2021) MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction. PLoS ONE 16(6): e0245824. https://doi.org/10.1371/journal.pone.0245824 pmid:34106935
Citation: Menyhart O, Weltz B, Győrffy B (2022) Correction: MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction. PLoS ONE 17(9): e0274662. https://doi.org/10.1371/journal.pone.0274662
Published: September 9, 2022
Copyright: © 2022 Menyhart et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.