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Birds of a feather flock together: Comparing controlled pre-post designs.

Carrie E FryLaura A Hatfield
Published in: Health services research (2021)
We recommend detailing a causal model for treatment selection and outcome generation and the required counterfactuals before choosing an analytical approach. The more flexible versions of DID and CITS can accommodate features often found in real data, namely, nonlinearities and divergent preperiod outcome trends.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • deep learning
  • data analysis
  • artificial intelligence