Data linkage for evaluating maternal, household and social influences on childhood health-service use and outcomes in children born preterm

Katie is a statistician with an interest in using linkage of administrative data for health research. During her Fellowship she aims to establish how nationally representative, population-level administrative data can be used to identify and measure determinants of variation in service use and educational outcomes for children born preterm by linking information on maternal, household and social environments. Katie will work with Professor Jan Vandermeulen at the London School of Hygiene and Tropical Medicine and Professor Ruth Gilbert at UCL and the Farr Institute of Health Informatics Research, London.