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

A study led by Dr. Xiong Dingrong of the Yunnan Observatories of the Chinese Academy of Sciences, in collaboration with other researchers, has offered new insights into the variability mechanisms of ...

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), ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

To add FT coverage as predictors, we ran more than 40 years of FT articles through a well-known topic model, named Latent Dirichlet Allocation. This gives us a clear picture of what our journalists ...

With the Vladislav Gavrikov signing and the immediate return from the K’Andre Miller trade, have the Rangers done enough to improve the defense for a legitimate run this year? — Robert B. That’s the ...

Nestlé R&D has announced a partnership with IBM Research to develop tools that use artificial intelligence and deep tech to ...

The technological race for the future has been at a dead sprint for decades, but some early retro gadgets retain plenty of utility and value.

The Caffry family in Waitsfield recently moved their 25-year-old Duncan into an intentional living community for folks with ...

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 ...