Keywords: statistical model selection, assumptions, linear regression, ANOVA, machine learning, homoscedasticity, normality, independence, data transformation, non-parametric tests, robust ...

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction. This approach has the ...

Whether that’s adjusting tactics pre-match, predicting outcomes or preventing injury, data science is changing the game. The ...

Open in Viewer Fig 2. Receiver operating characteristic curve of the machine learning CLL/MBL risk classifier model showing prediction performance for ALC ≥5.0 × 10 9 /L and ≥40% lymphocytes. The ...

Based on simulations, researchers report that the next big earthquake along the San Andreas fault is unlikely to resemble ...

Use of high-speed video microscopy and artificial intelligence provides calculated statistics like diastolic and systolic diameters, fractional shortening, and ejection fraction. Drosophila — commonly ...