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Prediction Models For COVID-19 – lessons learnt

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  • UserGlen Martin (University of Manchester)
  • ClockThursday 27 October 2022, 11:00-12:00
  • HouseZoom.

If you have a question about this talk, please contact Dr Ciara Dangerfield.

Prediction models take a set of characteristics about a patient as inputs, and output the risk that they will experience some event of interest. Huge volumes of such models were developed (and continue to be developed) for predicting different outcomes around covid-19. In this talk, I will outline the work I was involved in that systematically reviewed these models, and evaluated their risk of bias. I will outline some lessons that can be learnt from these existing models, and propose some next steps.

This talk is part of the Worms and Bugs series.

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