Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

In the multivariate model, both age and diabetes were the strongest predictors of cardiovascular disease (odds ratio 1.09, p = 0.029 and odds ratio 29.95, p = 0.016, respectively), while relative body ...

What are standardized residuals? How do I calculate it? How do I use it and interpret it? What are its benefits? The answers to these questions and more can be found below. Overview: What Are ...

This paper proposes an improved most likely heteroscedastic Gaussian process (MLHGP) algorithm to handle a kind of nonlinear regression problems involving input-dependent noise. The improved MLHGP ...

A multivariate Cox regression model revealed that a ΔQFR ≤ −0.1 (OR: 1.673, 95% CI: 1.039–2.698 P = 0.034) was an independent risk factor for TVF, which indicates the potential for consistency between ...

Hello, I appreciate your efforts with this library. I'm seeking a clear understanding of how the residual variance and scale.data slots are used after SCT. This question is related to issue #5916, ...

Most Formula 1 fans would say the sport is pretty boring at the moment: Red Bull driver Max Verstappen, predictably, will take first position in most races. He’s in a league of his own.