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SUMMARY:Prediction Models For COVID-19 – lessons learnt - Glen Martin (U
 niversity of Manchester)
DTSTART:20221027T100000Z
DTEND:20221027T110000Z
UID:TALK185819@talks.cam.ac.uk
CONTACT:Dr Ciara Dangerfield
DESCRIPTION: Prediction models take a set of characteristics about a patie
 nt 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 lesso
 ns that can be learnt from these existing models\, and propose some next s
 teps.
LOCATION:Zoom
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