Sentence examples for multiple comparisons on from inspiring English sources

However, although corrections for multiple comparisons on the one hand reduce the chances of making a type I error, the chances of making a type II error are increased.

Moreover, the reviewers highlight an important statistical concern, relating to the need to use a more stringent significance threshold if one conducts multiple comparisons on the same data (in this instance the reviewer is referring to the templates for UP and DOWN paths on the arms).

However, to assess the impact of multiple comparisons on these reported results, we performed multiplicity adjustments by permutation or Hochberg methods to control the overall type I error (adjusted p-values not shown).

Several tests yielded differences between two groups: the Mann–Whitney-Wilcoxon test, using multiple comparisons on ranks for independent samples, the Kruskall-Wallis test for nonparametric one-way analysis of variance (ANOVA), and Dunn's test as the post hoc test.

To control for familywise error in the multiple comparisons on sociodemographics, we applied the conservative Bonferroni adjustment (alpha 0.05/number of statistical tests).

Statistical inferences were performed after correction for multiple comparisons on small spherical volumes (svc; 10 mm radius) at a threshold of psvc = 0.05, around a priori locations of activation.

Nonparametric one-way analysis of variance and multiple comparison on ranks of several independent samples were performed using the Kruskal Wallis test.

Q-values were calculated to control for multiple comparisons based on an FDR value of 10% [47].

Multiple comparisons performed on OSS data revealed that heterozygous mice had a significant (p<0.05) elevation in responding relative to wildtypes, while knockout mice had dramatically blunted responding (p<0.001).

Activation at the threshold of t>3 with a cluster size of 10 (approximately p<0.001 corrected for multiple comparisons based on AlphaSim software [64]) was arbitrarily chosen to generally determine group activation regions.

The significance level for this analysis was p<0.0026, corresponding to a significance of p<0.05 for the whole amygdala (corrected for multiple comparisons based on the number of analyzed resolution elements).