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In order to correct for multiple comparisons, the false discovery rate (FDR) controlling procedure was applied on the resulting p values for all voxels.
The p-values from the t-tests were adjusted for multiple testing using the false discovery rate (FDR) controlling procedure of Benjamini and Hochberg [24].
On the average, 500 different values of T were used for each M. We assembled the full set of values pα(T) and applied on it the FDR controlling procedure [49].
We use two different strategies to calculate the FDR: 1) a mixture model approach as described by Allison et al [112] and 2) a step-up FDR controlling procedure suggested by Benjamini and Hochberg [23].
Uncorrected P-values are presented, however to account for multiple comparisons, we used the False Discovery Rate controlling procedure (q* = 0.05) of Benjamini and Hochburg with BMI, insulin-sensitivity and lipid-related traits treated as different families of hypotheses [11].
p value adjustment was performed using the false discovery rate controlling procedure [ 90].
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