Clinical Epidemiology

Johan Sundström in a data storage room.

Our passion is using big data to create value for patients and populations.

Description of our research

Photo: Mikael Wallerstedt.

Our research group is leading a national strategic research program in epidemiology funded by the Swedish government. We utilize many of Sweden’s cohorts in our observational research and have collected many of them ourselves, and we are leading a national initiative to increase the value of all Swedish cohorts. We also lead randomized clinical trials, mainly in cardiometabolic diseases and emergency care, and conduct systematic reviews and meta-analyses.

Our methods and method development are focused on using big data to guide risk estimation, treatment decisions, and evaluation of treatment effects, risks and costs. In addition to traditional data sources such as clinical trials and cohorts with multiple omics data, we use emerging ones such as electronic health records and patient-generated data. We use causal inference methods such as Mendelian randomization, causal diagrams, and propensity score-based methods. We also use machine learning methods and develop new digital tools for clinical research.

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