Binomial logistic regression, where the outcome is binary (e.g. death, yes/no) is often simply referred to as logistic regression and will be the focus of this article. For example, a team of medical ...

The Data Science Lab Logistic Regression Using Python The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, ...

Logistic regression was developed starting in the late 1930s as an effort to improve a binary classification technique called probit regression. Even though several more recently developed techniques, ...

Consider bivariate binary data, with possibly different covariates for each marginal binary observation. Suppose that the correlation between paired observations is a nuisance, and the interest lies ...

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...