Journal of Pathology Informatics Journal of Pathology Informatics
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TECHNICAL NOTE
Year : 2011  |  Volume : 2  |  Issue : 1  |  Page : 52

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


1 Faculty of Medicine, Bachelor of Health Sciences Program, Room G503, O'Brien Centre for the BHSc, 3330 Hospital Drive N.W. Calgary, Alberta T2N 4N1, 2, Canada
2 Departments of Pathology and Laboratory Medicine, University of Calgary and Calgary Laboratory Services, C414, Diagnostic and Scientific Centre, 9, 3535 Research Road NW, Calgary AB Canada T2L 2K8, Canada

Correspondence Address:
Christopher Naugler
Departments of Pathology and Laboratory Medicine, University of Calgary and Calgary Laboratory Services, C414, Diagnostic and Scientific Centre, 9, 3535 Research Road NW, Calgary AB Canada T2L 2K8
Canada
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2153-3539.91130

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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.


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