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We used Fisher's Exact Test to determine HLA-OLP associations (and Boneferoni test for multiple comparisons), Spearman's Rank correlation to determine associations between response frequency and HIV diversity, and Mann Whitney tests to determine differences between groups of continuous variables.
Differences between groups of continuous variables were determined by Mann–Whitney U or Kruskal Wallis ANOVA.
Comparisons between groups of continuous variables were made by the Mann–Whitney U-test.
Comparisons between groups of continuous variables were performed by nonparametric Mann-Whitney U test.
Differences between groups of continuous variables are shown as differences in means with 95% confidence intervals (95% CI).
Differences between groups of continuous outcomes were compared using the t-test or the Wilcoxon rank-sum test.
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The Mann–Whitney U-test was used for comparisons between two groups of continuous variables.
Differences between management groups of continuous data were determined by one-way ANOVA.
Differences between two groups of continuous data were analysed with the Student's t-test or, when data distribution was non-Gaussian, with the nonparametric Mann–Whitney U-test, whereas differences between fractions were evaluated with the χ or Fisher's exact test.
The statistical significance of differences between groups of patients in continuous parameters was tested using the Mann-Whitney U test.
Student's t-testb for between-group difference of continuous variables.
More suggestions(13)
between groups of diverse
between groups of distinct
between subsets of continuous
between groups of drunk
between means of continuous
between days of continuous
between groups of religious
between pairs of continuous
between measurements of continuous
between groups of wild
between intervals of continuous
between readings of continuous
between groups of different
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