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 …