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.

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 ...

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 ...

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

Recognizing that effects of marketing instruments can spill across brands in a category, we propose an alternative choice model that relaxes the IPS property: the cross attributes flexible ...

Analysing choice behaviour has a long tradition in marketing research. Such an analysis provides valuable insights for researchers interested in understanding consumer behaviour as well as ...

Logistic Regression If the independent variables are treated quantitatively (like continuous variables), then a logistic analysis is known as a logistic regression. If you want PROC CATMOD to treat ...