Sentence examples for statistical correction for multiple comparisons from inspiring English sources

However, this interpretation should be taken with caution, given the lack of direct comparisons between non-network and network studies and given the differences in statistical correction for multiple comparisons (i.e., network studies should correct for multiple networks, whereas regional non-network studies are forced to use a more stringent voxelwise correction for multiple comparisons).

After determining the main effect of task, we examined differences between self and other, by means of a t-test between the two levels (e.g., [self>semantic]>[other>semantic]), setting the same statistical correction for multiple comparisons as mentioned above.

Lastly, we identified the main anatomical correlates of inner speech using permutation testing, a recommended method of statistical correction for multiple comparisons (Medina et al., 2010).

Another potential limitation is the lack of statistical correction for multiple comparisons, which could lead to type I errors of false positive identification of statistical significance.

Accordingly, we chose not to apply a statistical correction for multiple comparisons, but to address this issue when interpreting the results.

Disease activity index displayed an inverse association with anti-FOXE3p53-62 Ab levels: positivity for anti-FOXE3p53-62 Ab was associated with low scores of the disease activity index after statistical correction for multiple comparisons (P = 0.035).

When statistical corrections for multiple comparisons are used, the finding is limited to a negative association between WML volume and right caudate volume, primarily in depressed subjects.

Second, the many concurrent recording channels require statistical corrections for multiple comparisons that severely limit statistical power.

However, for this reason, we applied conservative statistical corrections for multiple comparisons (Bonferroni).

Due to the explorative nature of the study and the low statistical power (as nine brain regions were used in the correlations), statistical Bonferroni correction for multiple comparisons yielding a significant level 0.0012 (0.05/43) was not carried out.

Where ROIs are used, we report statistical inferences with correction for multiple comparisons within the ROI, but also inferences corrected for whole brain comparisons and without correction.