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Differences in characteristics between those with 12 month, past or no history of depression or anxiety were determined using analysis of variance (ANOVA), with Tukey's Test Statistic for multiple comparisons applied, for continuous variables, Kruskal-Wallis for non-parametric continuous variables, and the chi square test for discrete variables.
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†Bonferroni correction for multiple comparisons was applied for comparisons of diagnosis.
Hochberg's GT2 method for multiple comparisons was applied for pair-wise comparisons between groups of patients.
Adjustment for multiple comparisons applied to the study of Booker et al. also led to loss of statistical significance [18].
We used a Bonferroni adjustment for multiple comparisons applied to an alpha of 0.05[ 15].
For data sets with multiple comparisons and one control group, one-way ANOVA followed by Dunnett's correction for multiple comparisons was applied; for experiments with more than one control group, Sidak's correction was used.
The same procedure with two previous comparisons was applied for 1230 LT, which is referred to as the local midday.
If overall significance was achieved, the Holm-Sidak test for all pairwise multiple comparisons was applied for parametric data or the Tukey test for nonparametric data.
One way ANOVA in combination with post hoc comparisons was applied for the analysis of differences between the groups concerning SP concentration.
One-way analysis of variance (ANOVA) and Tukey's multiple comparison test was applied for the comparison among various groups.
One-way ANOVA followed by Dunnett's multiple comparison test were applied for the comparison of positive control with the test groups.
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