Digital Single-Image Smartphone Assessment of Total Body Fat and Abdominal Fat Using Machine Learning.

Sensors (Basel) · 2022 · PMC9657201 · PMID 36366063

Europe PMC DOI

hedged sentence

0.0620

closest p · 1.2× alpha

0.0620

boldest claim

The sentences

approached significancep = 0.062so close (0.05 < p ≤ 0.1)

For the combined sample of females and males, bias (−0.42) approached significance ( p = 0.062) with LOA of 4.7 to −5.55 % fat.

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