Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables. In ...

Logistic regression is a popular method for modeling binary outcomes, such as whether a customer will buy a product or not, based on predictor variables, such as age, gender, or income.

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 ...