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More precisely, the multiple comparison the multiple comparison procedure revealed that head AI of the 2 youngest groups of subjects was significantly lower as compared with those of the oldest subjects (14 15 yo) (Q = 2.77, p<0.05 and Q = 2.73 for 5 6 yo and 7 10 yo respectively).

To adjust p-values for multiple comparison, the Holmes correction method would have been applied.

Alternatively, given single polymorphisms have no significant associations after adjusting for multiple comparison, the effect of individual polymorphisms may be simply minimal to modest [57].

To avoid chance findings due to multiple comparison, the Bonferroni correction was applied by lowering significance levels to P = 0.05/4 for the 4 SNPs.

Data were expressed as mean values±s.e., and were analysed by Student's t-test or ANOVA followed by the Tukey's multiple comparison; the level of significance was set at P<0.05.

Since correlation analyses were performed in an explorative way (without adjustment for multiple comparison), the few significant correlations (with borderline significance) do not support a general role of these findings for the pathophysiology of GERD.

Similar(53)

The Mann–Whitney-U-test and for multiple comparisons the Kruskal Wallis-ANOVA was used.

To account for multiple comparisons the threshold for significance was p < 0.003.

After correcting for multiple comparisons, the distributions of these CNVs were still significantly different (all P = 0.037) (Table S5).

To correct for multiple comparisons, the Bonferroni correction was applied.

In the case of potential multiple comparisons, the p-values were corrected with the Bonferroni correction.

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