Real-World Evidence vs. Randomized Trials: Can We Emulate Accuracy? Podcast Por capa

Real-World Evidence vs. Randomized Trials: Can We Emulate Accuracy?

Real-World Evidence vs. Randomized Trials: Can We Emulate Accuracy?

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 In this keynote episode, Professor Sebastian Schneeweiss from Harvard Medical School shares groundbreaking insights from his extensive research into emulating randomized controlled trials (RCTs) using real-world data (RWD). Recorded live at The Effective Statistician Conference 2024, this talk explores whether non-randomized studies based on electronic health records and claims data can reach conclusions as reliable as those from traditional RCTs. Prof. Schneeweiss, also Chief of the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital, walks us through the RCT DUPLICATE project, a major FDA-funded initiative that evaluated whether regulatory decisions could be replicated through high-quality real-world evidence (RWE). From the successes to the limitations—and everything in between—this episode is packed with lessons for statisticians, regulators, and pharmaceutical leaders interested in the future of data-driven healthcare decisions.

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