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Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources.

Marianne MeaidiHenrik StøvringKlaus RostgaardChristian Torp-PedersenKristian Hay KragholmMorten AndersenMaurizio Sessa
Published in: European journal of clinical pharmacology (2021)
Several methods for assessing the duration of redeemed prescriptions and combining them into temporal sequences are available. We present a set of considerations to make researchers aware of the potentials and pitfalls of these methods that may aid in minimizing biases in research using these methods. Additionally, we highlight that, to date, there is no one-size-fits-all solution. Thus, the choice of method should be based on their area of applicability combined with a careful mapping to the research scenario under investigation.
Keyphrases
  • high resolution
  • machine learning
  • drinking water
  • mass spectrometry
  • deep learning
  • high density