Bonferroni Correlation. The Bonferroni correction is a multiple-comparison correction used when several dependent or independent statistical tests are being performed simultaneously since while a given alpha value may be appropriate for each individual comparison it is not for the set of all comparisons. Nov 12 2012 Example.
I am a student and am new to R. 3 The False Discovery Rate In large-scale multiple testing as often happens in genomics you may be better served by controlling the false discovery rate FDR. Dec 01 2020 Next we will perform pairwise t-tests using Bonferronis correction for the p-values to calculate pairwise differences between the exam scores of each group.
So essentially meaning that correlations have to be significant at 000.
5 By contrast familywise error correction occurs when a smaller number of related group means are compared often after a posthoc procedure following. But as I was running 45 tests I did a Bonferroni correction of alpha 00545 0001 therefore making this finding insignificant. I initially used Pearsons correlation for all variables 45 tests. Threshold levels of significance for correlation coefficients were adjusted for multiple comparisons in a set of k correlation coefficients k 1 5 10 20 50 100 by Bonferronis correction.
