The course covers different types of regression models, i.e. linear regression, logistic regression, survival analysis, Poisson regression.
Learning outcomes
After completing the course the students can based on the research question select a suitable analysis method for the data. Students understand the details of the various types of multipredictor regression models, as well as their limitations. Students are able to properly use and understand the multipredictor models. Students can conduct the analysis using statistical software R and interpret the results of the analysis.
Contents
Simple linear regression, multiple linear regression, predictor selection, logistic regression and other models for binary responses, survival analysis (proportional hazards model and its extensions), Poisson regression, log-linear models, statistical computing with R