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Risk prediction in multicentre studies when there is confounding by cluster or informative cluster size.

Menelaos PavlouGareth AmblerRumana Z Omar
Published in: BMC medical research methodology (2021)
Ignoring CBC and ICS when developing prediction models for clustered data can affect the accuracy of marginal predictions. Adjusting for the cluster mean of the exposure or the cluster size can improve the predictive accuracy of marginal predictions.
Keyphrases
  • clinical trial
  • randomized controlled trial
  • electronic health record
  • study protocol
  • machine learning
  • cross sectional