This course offers a practically oriented introduction into regression modeling methods. The basic concepts and some mathematical background are included, with the emphasis lying in learning "good practice" that can be applied in every student's own projects and daily work life. A special focus will be laid in the use of the statistical software package R for regression analysis.

Simple and multiple regression models, with emphasis on practical aspects and interpretation of results, analysis of residuals and model selection. Generalized linear models, in particular logistic regression.