Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing.

Elife · 2021 · PMC8476129 · PMID 34569937

Europe PMC DOI

hedged sentence

0.0000

closest p · 0.0× alpha

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boldest claim

The sentences

highly significantp<0.00001actually significant

However, when considering the combination of adding CBCL+BPRS, this yielded a strong increase in prediction accuracy that was highly significant compared to considering only the SIPS (MSE of SIPS=0.74±0.62, MSE of SIPS+BPRS+CBCL=0.716±0.59, p<0.00001) or separately adding BPRS (p<0.00001), or CBCL (p<0.00001) (see Figure 3C ).

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