Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems. Logistic regression is a technique used to make ...

As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...

Engineers and chemists have successfully used the same technology at the core of facial recognition to design chiral crystals. This is the first study reporting the use of this technology, called ...

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...

Peter B. Imrey, Gary G. Koch, Maura E. Stokes, John N. Darroch, Daniel H. Freeman, Jr. and H. Dennis Tolley The literature of log linear models and logistic regression is surveyed from a contemporary ...

Increased triglyceride-glucose (TyG) index values are strongly associated with decreased lung function in healthy individuals.