Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

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), ...

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

This meta-analysis from two nationwide cohorts indicates that SSRI and SNRI augmentation therapies for people 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 ...

Public trust in scientific integrity is eroded by the politicisation of institutions under Donald Trump's US presidency. The implications extend far beyond American borders, striking at the core of ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide.

Then, an effective labeled-robust regression (L-RR) method is proposed to simultaneously recover the data and labels of the observed data. Experiments on real datasets show that our proposed methods ...

In today's data-driven business world, ensuring the accuracy, consistency, and reliability of data is crucial for making informed decisions and driving growth. Latest research from Experian found ...

A truly well-developed data strategy must accomplish four things.

Now you can think of data engineers like the Olympic judges and course designers. They create the “challenging arenas” i.e. evaluation datasets that reveal whether an AI model is merely ...