MRC Investigator (Programme Leader), MRC Biostatistics Unit, University of Cambridge

Disease processes are often complex and dynamic, changing in response to time-varying risk factors. One approach to dealing with this complexity is to simultaneously model the disease process and the dynamic risk factors. These multi-outcome models can be used in dynamic risk prediction when we are interested in monitoring over time an individual’s risk of an event occurring. Jessica Barrett’s research centres on developing statistical methodology for modelling complex multi-outcome data, particularly the statistical challenges of using electronic health records for prediction modelling. Her research is motivated by clinical applications including cystic fibrosis, cardiovascular disease and multimorbidity.