Introduction to Statistical Concepts V: Logistics and Poisson Regression

Learn about generalized linear models (GLM) for categorical and count outcomes. Necessary for understanding and using these models, the following will be covered:

– interpretation of odds, odds ratios and rate ratios
– variable “exposure” times
– overdispersion
– negative binomial regression
– considerations for Likert scale outcomes
– handling excess zeros