Additive regression is studied in a very general setting where both the response and predictors are allowed to be non-Euclidean. The response takes values in a general separable Hilbert space, whereas ...

Linear Regression Using JavaScript Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique ...

In hospital outcomes and mortality predictors of multiple myeloma on stroke hospitalizations: A multivariable logistic regression study on the National Inpatient Sample Database.

Disease duration, disease activity, osteoporosis, and CRP levels were identified as predictors of MCI among older patients with RA.