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I set ‘comparisons_correction=BH’, but the p-values report and annotate equal to the case ‘comparisons_correction=None’. Specifically, in the example notebook, section 'Multiple comparisons', for Mann-Whitney-Wilcoxon test two-sided with/without Benjamini-Hochberg correction, the reported and annotated p-values are equal.
Indeed, it seems, only comparisons_correction="Bonferroni" annotates and reports correctly.
The text was updated successfully, but these errors were encountered:
Hello @mahmood83 , thanks for your question.
Not all comparisons correction methods alter the pvalue, they however change the threshold for a pvalue to be considered statistically significant at the defined alpha.
Therefore, you can see in the examples you cite that instead of *, we get * (ns) even though the pvalue is the same.
You can read a more detailed discussion about this in #30, and a way to have only ns on the plot instead was implemented in #31.
I set ‘comparisons_correction=BH’, but the p-values report and annotate equal to the case ‘comparisons_correction=None’. Specifically, in the example notebook, section 'Multiple comparisons', for Mann-Whitney-Wilcoxon test two-sided with/without Benjamini-Hochberg correction, the reported and annotated p-values are equal.
Indeed, it seems, only comparisons_correction="Bonferroni" annotates and reports correctly.
The text was updated successfully, but these errors were encountered: