Sentence examples for multiple statistical criteria from inspiring English sources

The only brain region to survive these stringent multiple statistical criteria was a cluster of 13 voxels in the right hemisphere lingual gyrus, with peak Z-statistic of 3.93 and MNI coordinates: (18, −66, −2).

Multiple statistical criteria were used to obtain robust results of differential expression analysis.

Hypothesis generation is performed automatically by a computer program that utilizes the KAM to identify hypotheses that explain the input RNA State Changes, prioritized by multiple statistical criteria.

Hypothesis generation is performed automatically by a computer program that utilizes the mouse knowledge assembly model to identify hypotheses that explain the input RNA state changes, prioritized by multiple statistical criteria.

Multiple statistical criteria (i.e., Bayesian information criterion [BIC], sample-size-adjusted BIC [aBIC], and bootstrap likelihood ratio test [BLRT]) were used to determine the optimal number of latent trajectory classes.

Although most of the individual metabolites alone showed a significant reduction in PC patient serum, the strongest discriminator based on multiple statistical criteria was PC-594 (p=9.9E-14 p=9.9E-14

Consequently, they also clearly violate the CONSORT guidelines [67] regarding interpretation of the results under consideration of the study hypotheses, the possible causes of distortions ("bias") and the problems brought about by multiple statistical testing and multiple target criteria.

These developments are broadly welcomed but we identify two blind spots: (1) the relative neglect of the links between theory and method and (2) the use of inappropriate statistical criteria to justify multiple case research designs.

The statistical test of differences in expression level was assessed using a FDR criterion to account for multiple statistical testing [ 18].

After application of additional statistical criteria, such as correction for multiple hypotheses testing, the ontology concepts were ranked by statistical significance.

These comparisons were also repeated with more restricted statistical criteria using the Benjamini-Hochberg multiple comparisons correction, with the criterion of FDR < 1 %.