Barely Significant
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Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022.

Int J Environ Res Public Health · 2024 · PMC11594230 · PMID 39595741

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hedged sentence
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closest p · 0.0× alpha
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boldest claim

The sentences

highly significantp < 0.0001actually significant
PHQ4 score showed a highly significant association with e-cigarette use in the bivariate ( p < 0.0001) but not multiple logistic regression, possibly revealing that PHQ4 has some correlation with other variables.

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