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Comparison of multiple experimental groups was performed by 2-way ANOVA followed by a post-hoc Bonferroni multiple comparison test.
The effect of treatments and differences between multiple experimental groups were assessed using repeated measures analysis of variance (ANOVA) and Bonferroni multiple comparisons post-hoc test.
Difference between experimental groups was evaluated using a Student's t-test for two groups and one-way analysis of variance (ANOVA) followed by Holm-Sidak post hoc test for multiple experimental groups.
In these experiments, male Sprague-Dawley rats were randomly divided into multiple experimental groups (N = 3 to 5 per group), with very similar average body weight for each group.
Statistical significance among multiple experimental groups was determined by one-way ANOVA followed by Dunnett's test.
Preference values, feeding scores, and learning indices from multiple experimental groups are compared with Kruskal Wallis tests.
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Comparisons among three or more groups of independent samples were made with one-way ANOVA and Dunnett's test for multiple comparisons against the same control value or the Bonferroni test for multiple comparisons among experimental groups.
For multiple comparisons between experimental groups and control groups, Dunnett's test was used to check significant differences.
If multiple experimental conditions or muscle groups were reported in a single article, then data for each condition or muscle group were first combined into a single mean before running the overall analysis.
When ANOVA revealed significant differences between several experimental groups, multiple comparisons between experimental groups were performed using Dunnett's or Bonferroni's post hoc test.
The data from the control group were used for multiple comparisons with the experimental groups at each time point.
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