Because causal evidence is central to informing operational and clinical decisions, most research activities conducted by investigators in the Division of Research aim to draw causal inferences from experimental or nonexperimental data. Recent decades have seen considerable advances in the development of formal causal-inference methodologies.
In collaboration with academic partners, DOR researchers are developing software to streamline the application of such advanced causal inference methods in the routine conduct of research. They also contribute to the development of these methods through evaluation of their applicability and practical performance with real-world data and by tackling methodologic challenges and new opportunities in drawing causal inferences from complex electronic health record data.
