Sentence examples for inferences corrected from inspiring English sources

Exact(1)

Where ROIs are used, we report statistical inferences with correction for multiple comparisons within the ROI, but also inferences corrected for whole brain comparisons and without correction.

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So in the ancient Chinese philosophical context, disputation by its nature brought the participants just a step or two away from fundamental questions concerning how language relates to the world, how we know whether a claim is correct or not, what the criteria are for knowledge, and what makes some analogical inferences correct, others not.

For the group analysis of the ten subjects, a canonical, random effects model (RFX) was used to make a population inference (corrected p < 0.05).

That is, any voxel determined to be significant by the conjunction analysis constitutes a location in the brain which survived inference corrected for multiple comparisons in each of the individual meta-analyses.

Nonparametric statistical methods of inference correcting for multiple comparisons will be applied to statistically evaluate the main effects of group and time point, and any group × time interaction [ 50- 52].

For a priori regions of interest, statistical inferences were corrected for multiple comparisons using Gaussian random field theory at the voxel level in a small spherical volume (radius 10 mm) around coordinates selected from the literature on the DMN and from previous studies focusing on the neural correlates of go/no-go tasks and executive control of attention.

Links inferred by the reasoner during the Oort release are reviewed periodically, and any ontology errors that cause anomalous inferences are corrected.

Since conserved regions are relied upon by sequence-profile based search methods such as PSI-BLAST [23] and other transitive strategies for homology inference, correct delineation of domain boundaries are essential.

For the study on perfluorinated acids, a comparison of the inferences which are corrected for measurement error to those which ignore it indicates that little adjustment is manifested for the level of measurement error actually exhibited in the exposures.

Bootstrap techniques are employed to ensure appropriate inference by correcting for downward bias standard errors and adjusting for intra-cluster correlation, again due to the survey's complex design [ 21].

The voxelwise analysis was performed using permutation-based inference (5000 permutations) corrected for multiple comparisons, with a threshold-free cluster enhancement (TFCE) and significance level of p < 0.05.

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