A Risk Stratification Model for Lung Cancer Based on Gene Coexpression Network and Deep Learning.

Biomed Res Int · 2018 · PMC5822793 · PMID 29581968

Europe PMC DOI

hedged sentences

0.0600

closest p · 1.2× alpha

0.0600

boldest claim

The sentences

showed a trendp = 0.06so close (0.05 < p ≤ 0.1)

In test set 2, there was no feature significantly associated with OS in univariate Cox analysis, though the high-risk group showed a trend of unfavorable prognosis ( p = 0.06).

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did not reach statistical significanceno p-value reported

It was also higher in the training set and test set 2 though the difference did not reach statistical significance (Supplementary Methods, Supplementary Figure 7 ).

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