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Both unadjusted p-values and adjusted q-values for multiple comparisons are computed as in our previous studies [ 7, 8].
The adjusted P-value for each comparison was computed using multiple testing procedures under free combinations (R package multcomp, option 'free' in the summary function).
Multiple alignments were computed using CLUSTALW [ 43].
Multiple mean comparisons using least significant difference were computed using the significance level (p < 0.05).
Corrected P values were computed using the "mafdr" function in Matlab, 15 which corrects for multiple comparisons by controlling the false discovery rate.
Average mean change from baseline to year 1 among Whites, AAs, and Hispanic were computed using One-way ANOVA, and Dunnett method was performed for multiple comparison tests.
In the first step, the statistical map for the contrast contralateral minus ipsilateral, thresholded according to a conservative multiple-comparisons correction for the whole brain, was computed using data from the polar-angle version of the delayed saccade task.
Pairwise comparisons between treatments and lines, adjusted for multiple comparisons, were evaluated using Tukey's HSD test.
Corrections for multiple comparisons were made using the Benjamini-Hochberg method.
Adjustment for multiple comparisons was made using the Bonferroni correction.
Adjustment for multiple comparisons was made using the Benjamini-Hochberg multiple testing correction.
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