This chapter explores the crucial differences between prognostic and predictive biomarkers, focusing on their roles in clinical decision-making and trial design. It discusses the challenges of biomarker evaluation, including statistical complexities and the importance of pre-specification in studies. The content emphasizes the relationship between treatment effects and biomarkers, proposing structured approaches for effective predictive modeling.
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Interview with Julia Geronimi and Pavel Mozgunov
Why You Should Listen:
✔ You’ll learn a new method that’s both statistically sound and easy to implement
✔ You’ll see how to pre-specify your analysis strategy for biomarker evaluation
✔ You’ll understand how to get more value out of small sample sizes
✔ And you’ll come away with a fresh appreciation for the complexity—and opportunity—in biomarker-based trials
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If you’re working on evidence generation plans or preparing for joint clinical advice, this episode is packed with insights you don’t want to miss.
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