A causal roadmap for generating high-quality real-world evidence Review

cited authors

  • Dang, Lauren E.; Gruber, Susan; Lee, Hana; Dahabreh, Issa J.; Stuart, Elizabeth A.; Williamson, Brian D.; Wyss, Richard; Diaz, Ivan; Ghosh, Debashis; Kiciman, Emre; Alemayehu, Demissie; Hoffman, Katherine L.; Vossen, Carla Y.; Huml, Raymond A.; Ravn, Henrik; Kvist, Kajsa; Pratley, Richard; Shih, Mei-Chiung; Pennello, Gene; Martin, David; Waddy, Salina P.; Barr, Charles E.; Akacha, Mouna; Buse, John B.; Van der Laan, Mark; Petersen, Maya

Publication Date

  • September 17, 2023

webpage

category

keywords

  • Causal inference
  • estimands
  • machine learning
  • real-world evidence
  • sensitivity analysis
  • simulations

volume

  • 7

issue

  • 1