Sentence examples for multiple comparisons illustrated from inspiring English sources

Table 2 Analyses of variances of predictabilities for eight traits and six prediction methods with 20 replications Source DF Sum of Square Mean Square F-test p-value Trait 7 29.2992 4.1856 57,118.62 <.0001 Method 5 0.0302 0.0060 82.35 <.0001 Method×Trait 35 0.0492 0.0019.19.19 <.0001 Residual 912 0.0668 7.33E-05     Fig. 2 Multiple comparisons illustrated by boxplots.

For statistical inference of the concordance function, we set the critical threshold of T-values for concordance to a value equivalent to the joint distribution of atrophy and perfusion at p  < 0.05 statistical significance with a family-wise error (FWE) adjustment for multiple comparisons, as illustrated in Fig.  1.

Inferential misinterpretations associated with use of P-values, both significant and not, are clarified, and problems associated with error inflation due to multiple comparisons and selective reporting are illustrated.

ANOVAs with Student-Newman Keuls multiple comparison post-hoc analysis illustrated which groups were significantly different, with significance of at least p < 0.05.

ANOVA (analysis of variance) with Student-Newman Keuls multiple comparison post-hoc analysis illustrated which groups were statistically different, with significance of at least p < 0.05.

For display purposes illustrating the relevant clusters, we used P  < 0.001, uncorrected for multiple comparisons.

For multiple comparisons, a Bonferroni multiple comparisons correction was used.

Correction for multiple comparisons was performed.

Bonferroni correction for multiple comparisons was used.

Adjustments were not made for multiple comparisons.

α was Bonferroni corrected for multiple comparisons.