Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data.

Front Psychiatry · 2016 · PMC4824756 · PMID 27092086

Europe PMC DOI

hedged sentences

0.0010

closest p · 0.0× alpha

0.0010

boldest claim

The sentences

highly significantp < 0.001actually significant

Nevertheless, the classification was highly significant under permutation ( p < 0.001).

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did not reach statistical significanceno p-value reported

Univariate volumetric between-group differences did not reach statistical significance.

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