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Evaluation

Plenary Session

Session: Hot Topic Session [Plenary]

Hot Topic Session: Should confounding control be based on subject-matter knowledge, or driven by the data? A ‎debate

Wednesday, August 28, 2024
3:15 PM – 4:45 PM CEST
Location: Conv Hall I A/B
Confounding is a great challenge in pharmacoepidemiology. Confounding may be present in ‎observational studies of any type if a predictor of the outcome is imbalanced across the ‎exposure groups, a situation often seen when treatment allocation is not random but driven by ‎clinical decisions. There are multiple strategies to deal with confounding.‎
In this session, two teams of two experts each will present their best knowledge on whether ‎confounding should be addressed from a subject matter perspective or from a data-driven one. ‎The teams will present arguments and rebuttals, and the audience will have the opportunity to ‎ask questions and interact.‎

Co-chairs
Daniel Prieto-Alhambra, Pharmaco- and Device Epidemiology, NDORMS, University of Oxford, ‎UK; Medical Informatics Department, Erasmus MC, Rotterdam, Netherlands
Andrea Margulis; RTI Health Solutions, Barcelona, Spain

Speakers
Alejandro Arana, RTI Health Solutions, Barcelona, Spain
Vera Ehrenstein, Department of Clinical Epidemiology, Aarhus University, Aarhus, DK
Yuchen (Mimi) Guo, Pharmaco- and Device Epidemiology, NDORMS, University of Oxford, UK
Patrick Ryan; Observational Health Data Analytics at Janssen Research and Development; USA; ‎Department of Biomedical Informatics, Columbia University, NYC, USA