We partner across regions, integrating study design, statistics, and clinical knowledge
To improve causal inference, we used target trial emulation framework, self-controlled study design, and advanced statistical modeling to conduct post-market surveillance and assess effectiveness and safety of medications in populations not included in clinical trials.
To optimize medication use, we explore how individuals’ health behaviors, socioeconomic status, genetic factors, and other influences affect drug effectiveness by linking various data sources, including claims data and electronic health records.
We partner with cross-regional sites to assess drug utilization across diverse healthcare systems and ethnicities. To protect privacy, we use a common data model approach that integrates results from different regions to evaluate likely causation.
