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Because many statistical tests (i.e., one on each individual voxel) were being conducted, the final maps were corrected for multiple comparisons using FDR correction.
The resulting statistical maps were corrected for multiple comparisons [family-wise error (FWE) correction using the threshold-free cluster enhancement option] and thresholded at P = 0.05.
The resulting statistical parameter maps were corrected for multiple comparisons by the family-wise error rate (FWE-corrected p < .05).05
Absolute threshold mask was set to 10% limiting the analysis to voxels with more than 10% probability of containing GM. Resulting statistical parametric maps were corrected for multiple comparisons in the entire volume using the false discovery rate (FDR) method (p<0.05) [25] on the voxel level.
After being created, these maps were corrected or updated with new information infrequently.
Individual performance maps were corrected for chance level by subtracting 50% (binary discrimination) from every voxel.
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The maps are corrected with EM-BFACTOR (Fernandez et al., 2008) to 11.1 Å for emphasizing the information near the target resolution and then fitted with the crystal structures.
This is clearly illustrated in the reduction of nucleosome positioning signals in Additional File 1: Figure S4, when nucleosomal MNase degradation maps are corrected with the naked DNA ones (see Methods).
The resulting t-maps were corrected for multiple comparisons using a Monte Carlo simulation model (AlphaSim).
Then, the resultant F-maps were corrected for multiple comparisons with the threshold of P < 0.005 and cluster size >98 voxels, corresponding to a corrected P value of <0.05 as determined by AlphaSim (http://afni.nimh.nih.gov/pub/dist/doc/manual/AlphaSim.pdf).nih.gov/pub/dist/doc/manual/AlphaSim.pdf
When performing simple contrasts between the stimulus conditions and baseline across the whole brain the resulting map was corrected for multiple comparisons by applying a Bonferroni correction of p<0.05.
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