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

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

Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks from regulatory agencies, academia, professional societies, and industry. A broad spectrum of studies use real-world da...

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Bibliographic Details
Main Authors: Lauren E. Dang, Susan Gruber, Hana Lee, Issa J. Dahabreh, Elizabeth A. Stuart, Brian D. Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kıcıman, Demissie Alemayehu, Katherine L. Hoffman, Carla Y. Vossen, Raymond A. Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P. Waddy, Charles E. Barr, Mouna Akacha, John B. Buse, Mark van der Laan, Maya Petersen
Format: Article
Language:English
Published: Cambridge University Press 2023-01-01
Series:Journal of Clinical and Translational Science
Subjects:
Causal inference
real-world evidence
sensitivity analysis
simulations
estimands
machine learning
Online Access:https://www.cambridge.org/core/product/identifier/S2059866123006350/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2059866123006350/type/journal_article

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