Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform
Background Obtaining accurate estimates of the risk of COVID-19-related death in the general population is challenging in the context of changing levels of circulating infection.
Methods We propose a modelling approach to predict 28-day COVID-19-related death which explicitly accounts for COVID-19 infection prevalence using a series of sub-studies from new landmark times incorporating time-updating proxy measures of COVID-19 infection prevalence. This wa... Expand abstract
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- Peer reviewed
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- OpenSAFELY Collaborative et al
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