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Chi-square test was used to compare between percentages.
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For independent samples, the non-parametric Mann-Whitney U test and the χ 2 test were used to compare between-group means and percentages.
To compare between experiments, percentage recovery was normalized against the parental control, set as 100% entry and replication.
Repeated measures ANOVA was used to compare the frequency of HIV-specific CD8+ T cells producing IFN-γ or IL-2 between and within groups at different time points and to compare between groups the percentage of CD45RA+ HIV-specific CD8+ T cells producing IFN-γ.
Two-sample tests of proportions were used to calculate 95% confidence intervals (CI) for percentages and to compare differences between percentages for different causes of death in the same time period.
The rank-order scale allowed us to combine these data and utilize a non-parametric statistical analysis to compare between treatment groups and determine a percentage difference in rankings between treatment groups.
PE+ cells were compared between groups as percentage of ID3+ cells.
When comparing between constructs, the percentage of state variance explained by the trait factor was significantly greater for GAD-sx (76.5%) than MDD-sx, (54.1%), Δχ(1) = 13.6, P <.001, and GAD-sx had significantly less unexplained state variance (21.5%) than MDD-sx (36.4%), Δχ(1) = 16.7, P <.001.
Fisher's Exact test of significance (2-sided) was used to compare percentages between respondents with bipolar I disorder and bipolar spectrum disorder.
The Fisher exact test was used to compare percentages between groups.
For the platelet data, Wilcoxon rank-sum tests were used to compare percentages between groups.
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