Improving the processes of linking and analysing longitudinal population data to promote ethnic health equity

Linking routinely collected records creates powerful research opportunities, but imperfect identifiers and linkage errors can change who is included in analyses and the conclusions drawn. Drawing on applications to real-world health data, Joseph Lam presents his doctoral research on methods for assessing linkage quality, understanding how linkage errors differ across population groups, and turning methodological findings into better linkage practice for studying ethnic health inequalities. The talk is part of the RSS Emerging Applications Thesis Prize.