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For data other than those derived from microarray analysis, differences between groups were assessed by one-way analysis of variance (ANOVA) with a Bonferroni post-hoc test using Prism 2.01 software (GraphPad Software, San Diego, CA).
For behavioral analysis, differences between groups were examined using two-way repeated measure analyses of variance (ANOVAs) followed by post hoc Bonferroni tests.
In this repeated measures regression analysis, differences between groups are calculated based on the study outcomes, corrected for baseline values, to estimate true values in the random population.
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By using intention-to-treat analysis, differences between treatment groups for the outcomes were assessed by Student t test.
In vitro analysis, differences between independent groups and samples were evaluated using a non-parametric Kruskal Wallis H test for continuous data.
For analysis of differences between groups, a 2-way analysis of variance (ANOVA) was applied.
The statistical analysis of differences between groups in MTT assay was performed by one-way analysis of variance (ANOVA) followed by a post hoc Tukey test for intergroup comparisons.
Statistical analysis of differences between groups was performed using paired t-test, one-way analysis of variance (ANOVA), or two-way ANOVA followed by Tukey-Kramer post hoc test.
PPI data were analyzed using multivariate analysis of variance (MANOVA) followed by least significant difference (LSD) post hoc pair-wise comparisons for analysis of differences between groups.
An analysis of differences between groups revealed no significant differences between male and female students on posttest score.
For Part A, analysis of differences between groups was performed using SPSS 17.0.
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