Barely Significant
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Predicting Disease Progression in Inoperable Localized NSCLC Patients Using ctDNA Machine Learning Model.

Cancer Med · 2024 · PMC11499892 · PMID 39445439

1
hedged sentence
0.0931
closest p · 1.9× alpha
0.0931
boldest claim

The sentences

trend toward significancep = 0.0931so close (0.05 < p ≤ 0.1)
As shown in Table 1 , the combined method showed higher overall accuracies at three time points (TP1, TP2 and TP3) with trend toward significance than both the neomer model ( t ‐test, p = 0.0931) and the ctDNA mutation‐based method ( t ‐test, p = 0.0564).

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