Timothy R. Miller, Judith A. Spray, Logistic Discriminant Function Analysis for DIF Identification of Polytomously Scored Items, Journal of Educational Measurement, Vol. 30, No. 2 (Summer, 1993), pp.

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.

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 ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

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.