This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

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.

When the explanatory variables in a logistic regression are relatively small in number and are qualitative, you can request a goodness-of-fit test. However, when you also have quantitative variables, ...

A logistic regression analysis based on the complete cases neglects the information due to subjects with missing values in at least one but not in all covariates. Three different approaches allowing ...

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 ...