Causal inference in large datasets using genetic instrumental variables: extending Mendelian randomisation techniques


  • Dr Stephen Burgess

    University of Cambridge

Project summary

Stephen is a statistician, working in genetic epidemiology (particularly in Mendelian randomisation), with research interests in causal inference and observational studies. His research comprises methodological development and dissemination, and applied analysis, with a particular focus on cardiovascular disease and type 2 diabetes.