Sentence examples for using the wilcoxon tests from inspiring English sources

Differences between the numbers of EpCAM-positive cells in the different patient populations were analyzed using the Wilcoxon tests for quantitative and nonparametic variables.

Comparisons between quantitative variables were assessed using the Wilcoxon test.

We tested for significant pairwise differences between continents and protection within continents using the Wilcoxon test with Bonferroni adjustment.

Continuous variables were summarized by medians with interquartile ranges (IQRs); significance of differences was assessed using the Wilcoxon test.

Comparisons were made using the Wilcoxon test, the Mann–Whitney U test, and the multiple comparisons test by Schaich-Hamerle (p = 0.05).

For semi-quantitative analysis, SUVmax values were compared using the nonparametric Kruskal-Wallis test, and if necessary, using the Wilcoxon test.

Differences between paired samples were analysed using the Wilcoxon test.

Comparisons between groups were made using the Wilcoxon test.

Sample statistics were done using the Wilcoxon test.

Where the Friedman test resulted in statistical significance, subsequent tests were performed using the Wilcoxon test.

Linkage analysis was performed using the Wilcoxon test, and statistical significance was estimated by permutations [31].