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Instead, we have compared parameters between the two groups and performed multiple linear regression analysis by using mean infusion rate of glucose.
McNemar's test and Chi-square test revealed that there were no statistically significant differences in the proportions of all compared parameters between 2012 and 2013.
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One-way ANOVA was used to compare parameters between the patient groups.
An unpaired t test was used to compare parameters between subjects with and without VFs.
The independent t-test or chi-square test was used to compare parameters between them.
A Kolmogorov Smirnov Z-test was used to compare parameters between the two groups.
A Duncan ANOVA test was used to compare parameters between groups and a Dunnett ANOVA test to compare between tests and control.
The 95% confidence intervals (CIs) were calculated for proportions, and when comparing parameters between different assays, Fisher exact test was used to generate a 2-sided P value, with a value of ≤.05 deemed significant.
Due to the lack of conformity of most distributions to the normal distribution (verified using the Shapiro-Wilk test), the non-parametric Mann Whitney U test was used to compare parameters between groups.
Pearson chi-squares 2 × 2 contingency table, Mann-Whitney U test and student's t-test (to compare parameters between the different treatment groups) or a chi-squares test, Kruskal Wallis analysis of variance (ANOVA) and univariate ANOVA (to compare parameters within the different sepsis level groups) were used as appropriate.
There were no statistical differences between compared parameters mentioned earlier.
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