The P values were not adjusted for multiple comparisons and, therefore, were only descriptive.
The images are thresholded at p < 0.05 corrected for multiple comparisons and overlaid on the standard MNI_152 brain.
We use the Bonferroni correction [43] to account for the multiple comparisons and size effects in the data.
We empirically demonstrate that our approach circumvents the issues associated with multiple comparisons and individual variability while improving the statistics.
The effective dosage rates, based on the strength parameters, have been evaluated primarily by multiple comparisons and Cohen׳s d.
Statistical analysis involved one-way ANOVA followed by the Student-Newman-Keuls test for multiple comparisons and Student's unpaired t-test for comparisons between two groups.
Throughout the statistical analyses, the Bonferroni correction was used for multiple comparisons and a p value of <0.05 was considered statistically significant.
All probabilities were two-tailed, and P < 0.05 was regarded as statistically significant; P values were not adjusted for multiple comparisons and were considered descriptive only.
Non-parametric data were analyzed using the Friedman test with Dunn's post hoc test for multiple comparisons and the Mann-Whitney U test.
In terms of pattern recognition, they checked their notes, classified, and then made multiple comparisons and then reanalyze the graph features to make inferences.
One-way ANOVA was calculated for multiple comparisons and considered significant for P<0.05.
