Together with the Robert Koch Institute (RKI), the German Society for Social Medicine and Prevention (DGSMP), the Professorship of Public Health and Prevention from the Technical University of Munich organized a joint Workshop on “Evaluation of Public Health Interventions using Quasi-Experimental Methods” on Nov 23.-24.
On the first workshop day, two keynote lectures followed the welcome and introduction by Prof Laxy. Prof. Dr. Mario Mazzocchi, Professor in Economic Statistics at the University of Bologna, presented on the Application of quasi-experimental methods for food policy analyses. Prof. Dr. Edward Gregg, Head of the RCSI School of Population Health in Dublin, provided insights from applied quasi-experimental analysis in the field of diabetes prevention and care.
In the morning of workshop day 2, Prof. Dr. Michael Laxy gave a lecture on the concept and theory of quasi-experimental evaluations focussing on regression discontinuity, difference in differences designs. This part was followed by a moderated discussion of prioritized research questions. In the afternoon, Dr. Anna-Janina Stephan, Dr. Jacob Burns, and Prof. Michael Laxy from the Professorship of Public Health and Prevention offered an applied deep dive on Difference in Difference Designs and Regression Discontinuity Designs through R exercise sessions. The Workshop ended with a session on data infrastructure for quasi-experimental analyses in Germany, in which Dr. Anna Stephan gave an overview German insurance claims data.
The workshop took place in Berlin and attracted around 50 PhD candidates, postdocs and researchers from the field of medicine, epidemiology, public health, health services research and data science from across Germany.
Link to program: https://www.rki.de/DE/Content/Institut/Public_Health/Program-RKI-DGSMP-Workshop.pdf?__blob=publicationFile