Sentence examples for multiple comparison tests from inspiring English sources

Data were analyzed using Kruskal Wallis multiple comparison tests.

One-way ANOVA with Bonferroni's multiple comparison tests were used for multiple comparisons between data.

Post-hoc Dunnett's multiple comparison tests were used to compare pairs of data.

P values were calculated by one-way analysis of variance (P<0.0001) followed by Bonferroni's multiple comparison tests.

Multiple comparison tests were performed with Turkey's test.

However, none of the multiple comparison tests performed were significant.

Statistically significant differences are again tested with multiple comparison tests.

Dunnett's multiple comparison tests were used as post hoc tests.

Significant differences were examined by Duncan's multiple comparison tests.

The level of significance for multiple comparison tests was set at 5%%.

Table 2 shows repeated ANOVA with Bonferroni multiple comparison tests of mean differences in image noise.