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.

The measure is in the same spirit as Achen's (1982) "level importance" measure for linear models and thus fills an important gap in logit regression analysis. We show, on the basis of simulations and ...

This book also explains the differences and similarities between the many generalizations of the logistic regression model. The following topics are covered: binary logit analysis, logit analysis of ...

Example 39.1: Stepwise Logistic Regression and Predicted Values Consider a study on cancer remission (Lee 1974). The data, consisting of patient characteristics and whether or not cancer remission ...

Finite sample properties of the test are studied using a Monte Carlo experiment, and the test's power against the nested multinomial logit model and the multinomial probit model is investigated. The ...

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 ...