Regression for Binary and Count Data: Logistic and Poisson Regression

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 data.  The most common way to analyze a binary response (Yes/No or 0/1 outcomes) is the logistic regression model, which is a linear model with a logit transform of the response mean.  The most common way to analyze a count response (whole numbers) is the poisson regression model, which is a linear model with a log transform of the response mean.  The course will explain these two 91ÃÛÌÒ¸ó in detail and how to interpret the results.  The course will also work through many examples of the application of each model using statistical packages R and JMP.
Statistical collaborators from LISA will be on hand after the course to discuss your specific problems.