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Comparisons between multiple groups were tested using one-way ANOVA and Bonferroni post hoc tests.
Surprisingly this never happened even when multiple groups were using RF in the nearby area.
Multiple groups were compared with a repeated measures analysis of variance, followed by Bonferroni post hoc analysis.
Since data followed normal distribution, the differences between multiple groups were compared using parametric one-way ANOVA, followed by Tukey's post-hoc test.
Comparisons between multiple groups were tested using one-way ANOVA with Bonferroni post hoc test, and comparisons to the DMSO group reported.
Comparisons between multiple groups were tested using one-way ANOVA with Bonferroni post hoc test, and comparisons to the -JQ1 or GM1 group reported.
Multiple groups were compared with ANOVA.
Data were analyzed by analysis of variance (ANOVA) when multiple groups were compared.
Data obtained from multiple groups were analyzed using one-way analysis of variance (ANOVA) followed by Bonferroni post hoc tests.
Differences between the SUVs of multiple groups were analysed using the Kruskal-Wallis test with Dunn's multiple comparisons.
Multiple groups were compared by analysis of variance (ANOVA).
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