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Addressing missing data in randomized clinical trials: A causal inference perspective.

Ilja CorneliszPim CuijpersTara DonkerChris van Klaveren
Published in: PloS one (2020)
Bounding approaches should be used to acknowledge selective attrition in randomized clinical trials in acknowledging the resulting uncertainty with respect to causal inference. As such, Random Forest Lee Bounds estimates are more informative than point estimates obtained assuming MCAR or MAR.
Keyphrases
  • single cell
  • climate change
  • electronic health record
  • big data
  • clinical trial