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Adaptive Randomization Method to Prevent Extreme Instances of Group Size and Covariate Imbalance in Stroke Trials.

Dominic ItalianoBruce C V CampbellMichael D HillHannah T JohnsLeonid Churilov
Published in: Stroke (2024)
The proposed adaptive CSSize-MSB algorithm successfully controls for group size imbalance in hyperacute stroke trials under various settings, and its logic can be readily explained to clinicians using dynamic visualization.
Keyphrases
  • atrial fibrillation
  • machine learning
  • palliative care
  • climate change
  • deep learning
  • cerebral ischemia
  • neural network
  • blood brain barrier