Master's Programme in Mathematics and Statistics is responsible for the course.
The course belongs to the Statistics and Social statistics module.
The course is available to students from other degree programmes.
Introduction to register-based research
Bachelor studies, event-history analysis, programming
The student gets an overview on how to conduct repeateable data-analysis on large data sets combining different data sources in practice and how to avoid common biases related to register-based data analysis
Recommended time/stage of studies for completion: 1. or 2. year
Term/teaching period when the course will be offered: varying
During this course essential aspects of pragmatic register-based data analysis will be covered: how to store and preprocess large data sets, how to combine different data sources, which kind of study designs can be used, how to avoid common biases and how to document the research process in a repeatable manner.
Separate course material
Lectures, group work and assignments
Written final assignment
Active participation and written final assignment