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Differences among proportions were compared using Fisher's exact tests, differences between medians were compared using the Wilcoxon Rank Sum test and Spearman's Rank Correlation test was used to assess association strengths.
Finally, to help interpret these multigroup SEM comparisons, we performed a post-hoc examination of the model variable means for different gender and age groups and tested differences using the Mann-Whitney test, which tests differences between two groups on ordinal scales of measurements.
This approach tests differences between conditions while controlling for intersubject variability in a traditional statistical sense.
In pairwise statistical tests, differences between groups tended to be greater for sialic acid than for acute-phase reactants.
For image analysis and biomechanical tensile tests, differences between the groups were tested with Wilcoxon signed-rank tests.
Analyses were conducted with non-parametric tests: differences between two independent samples were assessed with Mann–Whitney U-test, and multiple comparisons were made with Kruskal Wallis test.
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ANOVA was performed to test differences between different time points and between treatments.
χ Tests were used for testing differences between four different types of clinics.
Data of different patients and different cycles were combined to test differences between time points and treatment groups.
The non-parametric signed rank test was used to test differences between levels measured at different visits.
The log rank test was used to test differences between family physicians and the different specialists.
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