Barely Significant
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Understanding drivers of neonatal mortality in Zimbabwe: A machine learning approach using survey data.

PLOS Glob Public Health · 2026 · PMC12854431 · PMID 41610121

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hedged sentence
0.0010
closest p · 0.0× alpha
0.0010
boldest claim

The sentences

highly significantp-values <0.001actually significant
Assessing the effect direction of the identified neonatal mortality predictors using logistic regression The top three variables most relatively important in the XGBoost model were also highly significant in traditional logistic regression (early breastfeeding, birth weight, and household size, all with p-values <0.001).

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