A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models.

EBioMedicine · 2022 · PMC8897583 · PMID 35248997

Europe PMC DOI

hedged sentence

0.0993

closest p · 2.0× alpha

0.0993

boldest claim

The sentences

approached significanceP = 0·0993so close (0.05 < p ≤ 0.1)

Log-rank tests for the difference between survival curves was significant across the validation sets for RFS and recurrence ( P < 0·01) and approached significance for OS ( P = 0·0993).

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