Dublin, Sept. 02, 2024 (GLOBE NEWSWIRE) -- The "Multiple Linear Regression, Logistic Regression, and Survival Analysis" webinar has been added to ResearchAndMarkets.com's offering. In this ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

Journal of the Royal Statistical Society. Series D (The Statistician) A three-parameter family of survival models is introduced. The base-line density is derived and the main properties of the model, ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light signatures" (optical spectra) of molecules, materials and disease biomarkers, ...