Sentence examples for multiple pairwise comparison from inspiring English sources

Significance was defined at P < 0,05, and when significant differences were found, a Multiple Pairwise Comparison (Tukey's test) was used to isolate the different groups (significance set at P < 0,05).

Statistical significance was determined through analysis of variance (ANOVA) using Holm-Sidak or Tukey's multiple pairwise comparison tests (overall significance level = 0.05), using SigmaPlot v.11.0 software (Systat Software Inc., San Jose, CA, USA).

The multiple pairwise comparison issue was addressed using Bonferroni adjustment.

Pairwise comparisons were made using Fisher's multiple pairwise comparison method in Minitab® 13.20 Statistical Software (Minitab Inc. 2000).

P-values and superscript letters (a, b: P <0.05) are given by using the non-parametric Kruskal Wallis test and the Dunn's multiple pairwise comparison.

Each set of posttreatment threshold shifts compared between the control group and ADAC-treated groups using one-way ANOVA and post hoc Holm-Sidak multiple pairwise comparison test.

Multiple pairwise comparisons were performed with the Wilcoxon signed rank test.

Tukey's method was used to adjust for multiple pairwise comparisons.

A Tukey-like approach with permutation resampling is applied to adjust P values for multiple pairwise comparisons.

Tukey's method was used to adjust for multiple pairwise comparisons, which were based on the differences in least squares means.

Data were compared by one-way analysis of variance, with Bonferroni's post-hoc test for multiple pairwise comparisons (* P < 0.05).