Generalized linear models

The course introduces models that are various extensions of the linear regression model. These extensions offer greater flexibility for data analysis by allowing other common types of data to be analyzed. The course covers modeling and analysis of binary data, categorical data, proportions, count data, contingency table data, and longitudinal data.

The course provides an overview of several models with a focus on practical applications: being able to select appropriate models based on data, estimate models through programming in R, and interpret and critically evaluate analysis results and predictions with respect to underlying model assumptions. The definition and fundamental theory of the class of Generalized Linear Models (GLM) are covered in the course.