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Here, we controlled for multiple comparisons by using the family wise error (FWE) method (p < 0.05).
Data analysis was performed by one-way analysis of variance with the Dunnett's post hoc test for multiple comparisons by SPSS 10.0 software.
The significant level was corrected during multiple comparisons by the Bonferroni correction, and a p value <0.05/number of comparisons was considered statistically significant.
All results were considered significant when p < 0.05 and, whenever suited, subsequently corrected for multiple comparisons by applying the Bonferroni-Holm correction.
Results were corrected for multiple comparisons by the Bonferroni method.
None of these associations were statistically significant when accounting for multiple comparisons by FDR procedure.
P-values were adjusted for multiple comparisons by the Holm procedure [65], [66].
The results remained very significant even after correction for multiple comparisons by permutation tests.
The results remained significant after correction for multiple comparisons by permutations.
P-values were adjusted for multiple comparisons by controlling the false discovery rate (FDR) [69].
P-values from each pair-wise analysis were adjusted for multiple comparisons by controlling the false discovery rate [23].
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