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Multiple comparisons use paired t-test with p-values adjusted for familywise error using the Holm procedure [25].
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Results were adjusted for multiple comparisons using Bonferroni's method.
The analysis was corrected for multiple comparisons using the Bonferroni method.
Resulting p-values were adjusted for multiple comparisons using the Bonferroni-Holm method.
Significance values were adjusted for multiple comparisons using the Bonferroni correction.
As there are 378 pairwise comparisons we corrected for multiple comparisons using the Holm Bonferroni correction [33].
We adjusted alpha for multiple comparisons using the Bonferroni method, adjusting the critical α value to 0.01.
These associations also remained significant even after adjustment for multiple comparisons using the Benjamini-Hochberg procedure [27].
Multiple comparisons used the Kruskal Wallis variance analysis with Dunn s' multiple comparison test.
If appropriate, pairwise comparisons were conducted correcting for multiple comparisons using Bonferroni correction.
All other analyses are presented unadjusted for multiple comparisons, using a nominal.05 level of significance.
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