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Statistical significance of the differences between groups was measured by Friedman's test with Dun's multiple comparison.
Genetic differentiation between groups was measured by estimates of the fixation index, F ST, calculated according to Weir and Cockerham [ 53].
The statistical significance of differences between groups was measured using the Kruskal-Wallis test with Dunn's post hoc test or the Wilcoxon matched-pairs signed rank test, where appropriate.
A trend for a statistically significant difference was observed between the treatment groups at week 12 (P=0.065), and a statistically significant difference between groups was measured over the 12-week period (MMRM, P=0.0295).
Median and interquartile range were reported for length of stay, cost of hospitalization, and the Charlson comorbidity index because of their skewed distribution, and significance between groups was measured using the Kruskal-Wallis test.
Median and interquartile range were reported for length of hospitalization and cost of hospital stay due to their skewed distribution; significance between groups was measured using the Mann-Whitney rank sum test.
Similar(53)
Differences between groups were measured by the Mann–Whitney test.
The differences between groups were measured using a one-way ANOVA, followed by Tukey test.
Differences in incidences between groups were measured by the χ test.
The statistically significant differences between groups were measured by the Student's t-test or Pearson's chi-square test using GraphPad Prism (version 5.0; GraphPad Software, La Jolla, CA, USA).
Differences between groups were measured using Mann Whitney tests for non-normally distributed continuous ordinal data and Kruskal Wallis tests for the non-normally distributed variables with more than two groups.
More suggestions(18)
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