Sensible Medicine
A Conversation with Professor Robert Yeh
Aug 20, 2023
Harvard Professor Robert Yeh discusses the challenges and importance of determining the credibility of observational studies in cardiology. They explore the use of causal language in research and the need to differentiate between association and causality. The chapter also discusses the difficulties of analyzing observational data, avoiding biases like immortal time bias, and advancing observational research in medicine by borrowing techniques from adjacent fields.
46:39
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Quick takeaways
- Observational comparison studies in cardiology should aim to simulate a randomized clinical trial to ensure credibility.
- Collaboration between clinical experts and causal inference experts is crucial for improving the design and analysis of observational studies in cardiology.
Deep dives
The Importance of Credibility in Observational Research in Cardiology
In this podcast episode, Bobby Yay, a professor of medicine at Harvard and a cardiologist, discusses the importance of credibility in observational research in cardiology. Yay emphasizes the need to raise the bar for the quality of observational studies and improve their credibility. He acknowledges that while observational research is necessary due to the inability to conduct randomized trials for every question, there are challenges in determining which studies are credible. Yay advocates for a closer collaboration between clinical experts and causal inference experts to improve the design and analysis of observational studies.
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