Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The benefits of regression analysis are manifold: The regression method of forecasting is used for, as the name implies, forecasting and finding the causal relationship between variables.

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Higher scores on a dietary index linked to gut microbiota health are associated with slower biological aging in US adults, according to a large cross-sectional NHANES study. The findings suggest that ...

Background Immune-mediated processes leading to childhood type 1 diabetes may begin in fetal life. We hypothesised that a ...

This study reveals that adequate dietary fiber intake is crucial for lowering obesity risk and mortality, supporting its role ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...