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BSU Seminar: "Challenges in risk prediction using routinely collected health data"

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  • UserDr Elizabeth Williamson, London School of Hygiene and Tropical Medicine
  • ClockThursday 14 July 2022, 14:00-15:00
  • HouseVenue to be confirmed.

If you have a question about this talk, please contact Alison Quenault.

This will be a free online seminar. To register, click here:

Identifying who is at highest risk of severe consequences of COVID -19, such as hospitalisation or death, is an important component of any policy response. One of the best sources of information on who experiences these events is linked electronic health record data. Using these data to identify high-risk patients, however, raises a number of methodological challenges. This talk discusses the use of linked primary care data within the OpenSAFELY platform to predict risk of COVID -19 mortality and the challenges of doing so.

This talk is part of the MRC Biostatistics Unit Seminars series.

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