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Continuous data were compared between groups using nonparametric Mann-Whitey test.
Quantitative parameters and continuous data are presented as median and interquartile range (IQR, 25th 75th percentile) and were compared between groups using nonparametric U Mann–Whitney test.
We compared physical activity between groups using nonparametric analyses (Wilcoxon and logistic regression) due to the skewed nature of these data.
Spatial maps were finally tested for voxel-wise differences between groups using nonparametric testing with 5000 random permutations [Nichols and Holmes, 2002].
Accumulated points, number of perseverative errors and trials required to reach a criterion in each learning phase were compared between groups using nonparametric Kruskal Wallis rank-sum tests.
The distributions of FGF19, BAs, and hepatic glycogen were compared between groups using nonparametric statistical tests (i.e., Wilcoxon rank-sum test) to account for the inherent heteroskedasticity of skewed distributions (as confirmed by Shapiro-Wilk test for skewness).
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Mean values of AUC and mean values of clearance of docetaxel were compared between groups using the nonparametric Mann–Whitney test for two groups or the nonparametric Kruskal Wallis test for three or more groups (StatView software, version 5.0; SAS Institute, Cary, NC, USA).
Parameters that did not have a Gaussian distribution were compared between groups using the nonparametric Mann-Whitney U-test.
We tested the differences of serum 25(OH) vitamin D concentrations between groups using the nonparametric Kruskal Wallis Test.
Median values found for blood cells were compared between groups using the nonparametric Mann–Whitney U test, with a level of significance of P = 0.05.
Parametric continuous variables were compared between groups using the t test; nonparametric variables were compared using the Mann–Whitney test.
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