Register-based Clinical Epidemiology Research

Aim: After completing the course the participants are expected to be able to

  • describe existing Danish health registers and clinical databases
  • predict which information can be obtained from which registers
  • prepare well-structured analysis data sets for register studies
  • design clinical studies using existing registers and using registers as follow up data on existing clinical data
  • choose relevant clinical epidemiological methods for carrying out a register-based clinical study
  • critically evaluate the validity and data quality of health registers


Content: The participants are introduced to registers, clinical databases and register-based studies, clinical epidemiological methods within register-based research and how to design register-based studies. Furthermore, data management in relation to data control and the establishment of analysis data sets is discussed.

The focus is on practical applications of the concepts by practical exercises using Stata and working with the participants’ own projects.

Course arrangement: A 2½-week course with three full days in the first week with lectures and exercises. In the following week participants work with their own project and prepare a course report and hand it in by the end of the second week. The students will correct and comment on each other's course reports. Finally, each participant presents the report at a seminar at the end of the third week and the students will be opponent to each other.

Course period: Lectures May 30th – June 1st 2017 and seminar day June 15th 2017.

Course leader: Associate professor, PhD, MHS Katrine Hass Rubin, OPEN – Odense Patient data Explorative Network, SDU and OUH.

Course lecturers: Professor MD Anders Green; PhD Peter Bjødstrup Jensen; PhD Sören Möller, Mette Bliddal, PostDoc, PhD and associate professor, PhD Katrine Hass Rubin, OPEN – Odense Patient data Explorative Network, SDU and OUH.

Prerequisite: Participants should bring their own laptop with Stata (version 13 or 14). A little knowledge about Stata is an advantage, but not a prerequisite.

Place: University of Southern Denmark, Odense.

Course material: Hand-outs and selected publications.

Course credit: 4 ECTS

Price: The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement". The course fee for other participants is DKK 5,095.

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