An open-source software program for performing Bonferroni and related corrections for multiple comparisons

Increased type I error resulting from multiple statistical comparisons remains a common problem in the scientific literature. This may result in the reporting and promulgation of spurious findings. One approach to this problem is to correct groups of P-values for "family-wide significance" using a Bonferroni correction or the less conservative Bonferroni-Holm correction or to correct for the "false discovery rate" with a Benjamini-Hochberg correction. Although several solutions are available for performing this correction through commercially available software there are no widely available easy to use open source programs to perform these calculations. In this paper we present an open source program written in Python 3.2 that performs calculations for standard Bonferroni, Bonferroni-Holm and Benjamini-Hochberg corrections.

• Publication year

  2011

• Venue

  Journal of Pathology Informatics

• Publication date

  2011-01-01

• Fields of study

  Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.4103/2153-3539.91130PMID 22276243PMCID 3263024
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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