Generalized linear models are a class of models for the analysis of multivariate datasets. This class subsumes linear models for quantitative response, binomial models for binary response, loglinear models for categorical data, Poisson models for count data. Models are presented and practiced from a problem oriented perspective using applications from the social, economic and behavioural sciences.
The aim of this course is to acquire knowledge about generalized linear models and a practical understanding of how to apply these models. Further objectives for the course participants are to be able to choose the most suitable methods to analyse multidimensional datasets, to perform the analysis using the statistical software R, and to critically assess the results obtained.