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Nevertheless, we decided to be consistent in treating the data categorically and accounted for deviations from normal distributions.
The visual inspection of the distribution of the hormones did not indicate major deviations from normal distributions and therefore no transformation was applied before analysis.
Since both the pre-operative and post-operative measurements show deviations from normal distributions, probability plots for normal, gamma and Weibull distributions were fitted.
If obvious deviations from normal distributions are detected, changes in outcome will be compared between groups by Wilcoxon-Mann-Whitney test.
No deviations from normal distributions were found (absolute values of skewness < 2, absolute values of kurtosis ≤ 1; Muthén and Kaplan, 1992).
Some cellular phenotypes exhibited strong deviations from normal distributions, even after log transformation; hence, the use of a nonparametric test minimizes the impact that outliers have on test statistics.
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Values deviating more than three standard deviations from normal distribution were carefully investigated.
Deviations from normal distribution were checked with the Shapiro-Wilk and Shapiro-Francia tests for normality.
Significant deviations from normal distribution were detected for several metabolite/patient group combinations (Figures 2 and 3).
Kolmogorov Smirnov test was applied to examine which variables showed significant deviations from normal distribution.
No significant deviations from normal distribution were detected for any measure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com