The course is divided into two parts. In the first part, you’ll be introduced to the theory behind count models in an intuitive way while keeping the math at a minimum.
You’ll get to grips with Poisson regression and understand how to work with continuous, binary, and categorical variables. As you advance, you’ll explore the concept of overdispersion and how to address this issue using negative binomial models. The course also covers other count models such as truncated models and zero-inflated models.
In the second part of the course, you’ll be able to apply what you have learned using Stata. You’ll be taken through a large project where you’ll fit the Poisson, negative binomial, and zero-inflated models. Additionally, you’ll discover the tools used to compare these models.