This is part of the RSS Emerging Applications Thesis Prize.
Linking routinely collected records offers powerful opportunities for research, but imperfect identifiers and linkage errors can affect who is included and the conclusions we draw. Drawing on real-world health data applications, Joseph will share his PhD explorations on methods for assessing linkage quality, understanding unequal errors across population groups, and translating methodological research into better linkage practice.
Joining instructions will be sent the day before the event.
Dr Joseph (Jo) Lam is a public health researcher at UCL whose work focuses on data linkage methods, quality and bias. He works with researchers and government partners to improve how routinely collected records are linked and used to investigate health inequalities. He also founded Link Lab CIC to support public engagement with linked data.
Members - FREE
Non-members - £10.00