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The results were processed by using nonparametric statistical tests.
In such situations, alternatives might either rely on using nonparametric statistical tests or only on comparing the confidence intervals without any statistical tests [13].
Quantitative data were expressed as median with interquartile range and compared using nonparametric statistical tests.
In such situations, alternatives might either rely on using nonparametric statistical tests or only on comparing the confidence intervals without any statistical tests [ 13].
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).
Finally, the association between CUn-MepG counts and expression levels was found to be significant using nonparametric statistical tests (Spearman correlation of the median in Figure 1 and Mann-Whitney test in Figure 2).
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Data are presented as mean ± SEM, and statistical differences were determined using nonparametric statistical test (i.e., Mann-Whitney-Wilcoxon and Kruskal-Wallis tests).
We used nonparametric statistical tests to minimize the probability of false significant results due to the small sample size.
In all cases, we used nonparametric statistical tests.
Meanwhile, researchers using the IONB-PRO questionnaire should use nonparametric statistical tests.
Owing to the limited sample sizes and asymmetrically distributed observations we used nonparametric statistical tests.
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