As an early Christmas gift, we’ve launched not one, but two new courses in the EHDEN Academy!

The population-level effect estimation course focuses on the methodology for generating clinical evidence by performing comparative cohort studies. The course presents a framework for formulating comparative effect research questions and discusses what makes good and bad questions. It furthermore describes how the OHDSI tools can be used to design and execute a comparative effect study using the OHDSI software tools. This includes the use of propensity scores to adjust for confounding, varying times at risk, and different types of outcome models, such as Cox or logistic regressions.

By taking our patient-level prediction course you will gain deeper insights into patient prediction modelling using OHDSI tools, in particular ATLAS. The course focuses on defining prediction questions, identifying useful prediction questions of relevance to prediction modelling, and developing, evaluating and presenting prediction models. The aim of the patient-level prediction work in OHDSI is to standardize the prediction process to do large-scale predictions which allows to investigate, among other things, best practices and decision choices when doing model development.

Visit the EHDEN Academy to start your learning journey!