Sentence examples for multiple comparisons considered from inspiring English sources

For other outcomes measured at a single time point, a p value <0.05 was used to indicate significance and no adjustment was made for multiple comparisons due to the multiple comparisons considered.

The responses of the two predefined groups, pediatricians and pediatric intensive care unit nurses/RTs, were compared using the Chi-square statistic, with P ≤ .05 after Bonferroni correction for multiple comparisons considered significant.

We corrected the Mann-Whitney univariate analysis by using the Bonferroni test for multiple comparisons, considering a significant P-value of 0.0056.

In order to keep at minimum the probability to find a statistically significant difference purely by chance, the usual nominal level (P = 0.05) has been lowered to 0.016 by Bonferroni adjustment for multiple comparisons considering the 3 studied SNPs.

However, when multiple comparisons were considered, then a lower p-value was considered significant based on a Bonferroni analysis - this is defined at the beginning of each section of the results.

The p-values, after Bonferroni correction for multiple comparisons, were considered significant in the combined linear and logistic regression analyses; p-values of <0.05 were considered significant in each population analysis (KoGES and KCMS).

To take into account the effect of multiple comparisons, we considered only cases where the significance level of P < 0.05 was reached in both ANOVA and regression for at least 11 consecutive samples.

A p value less than 0.05 after correction for multiple comparisons was considered significant.

One-way ANOVA was calculated for multiple comparisons and considered significant for P<0.05.

Clusters with at least 15 voxels and pcorr <0.05 (corrected for multiple comparisons) were considered significant in group analysis of CM signals.

Clusters with at least 5 voxels and Pcorr<0.05, corrected for multiple comparisons, were considered significant in group analyses of brain activation.