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For comparison of data between multiple groups we used Kruskal-Wallis test and for comparison between two groups we used Mann-Whitney U test.
To compare percentage between two groups we used χ2 test.
For comparison between two groups, we used paired and unpaired Student's t-test as appropriate.
When conducting univariate comparisons between two groups, we used a t test.
For comparisons between two groups, we determined the significance of differences between means by t-tests.
In order to detect consistent differences in copy number changes between two groups, we employed comparative KC-SMART.
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Because of the imbalance of stunted children between the two groups, we studied growth between baseline and the 4 weeks visit.
Because no differences were found between the two groups, we explored the relationship between each hormone level and sperm parameter and each metal concentration in the entire population.
When comparing the proximo-distal, antero-posterior and oblique dimensions between the two groups, we found no significant difference in the means between groups.
Since multicollinearity was determined between sepsis and the APACHE-II score (borderline significant difference between the two groups) we used only sepsis as a covariate.
To assess the equivalence of variance between the two groups we used Levene's test.
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between two genocides we
between two regions we
between two nodes we
between two variables we
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