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To correct for multiple comparisons, resulting brain images were thresholded at p <.05 FWE.
Bonferroni correction was applied to account for multiple comparisons, resulting in an α value of 0.01.
False discovery rate (FDR) was used to adjust for multiple comparisons resulting from the ANOVA models with α = 0.05.
We applied the Bonferroni method to correct for multiple comparisons, resulting in a p value <0.002 being regarded as significant.
The Hochberg method will be utilized to compensate for the multiple comparisons resulting from two endpoints and evaluate if the primary endpoint has been reached.
To correct for multiple comparisons, resulting brain images were thresholded at p <.05 FWE First, brain regions were identified for the contrast (unfair rejected vs fair accepted).
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The letter on histogram (a, and b) indicate multiple comparisons result at the significant level 0.05.
An adjustment to the significance level for multiple comparisons resulted in only a small increase (2-5 patinnthe in the required numbers.
Moreover, since the Mann-Whitney U test is not designed to test for significance in multiple comparisons, results based on this two-sample test were verified by employing a parametric multiple-comparison method, Fisher's PLSD test (a nonparametric test for pairwise multiple comparisons was unavailable).
No results were significant after this permutation-based adjustment for multiple comparisons (results not shown).
For multiple comparisons, results were analyzed by one-way analysis of variance (ANOVA) when appropriate with Graphpad Prism 6 software (Graphpad Software, La Jolla, CA, USA).
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