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The relationships between biomarkers with patient and tumour characteristics were examined with the Kruskal Wallis test, a non-parametric method for examining differences among multiple groups.
One-way analysis of variance (followed by Tukey's multiple comparisons test) was used to compare differences among multiple groups.
For comparisons among multiple groups, Kruskal-Wallis analyses was performed with Dunn multiple comparison tests to compare individual groups.
Comparisons among multiple groups were made by ANOVA, with Bonferonni post-test comparisons.
Comparisons among multiple groups were made by analysis of variance ANOVA.
Two-way analysis of variance (ANOVA) and Bonferroni tests were used for comparisons among multiple groups.
Comparisons among multiple groups were performed using Kruskal- Wallis test.
Dunnett's multiple comparisons test was used to test significant effects among multiple group means.
Coevolutionary analysis is a group of methods used to identify the evolutionary relationships among multiple factors.
Bennett, E. M., Peterson, G. D. & Gordon, L. J. Understanding relationships among multiple ecosystem services.
However, existing research reflects the problems inherent in sorting out relationships among multiple, often interrelated factors.
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