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Have you faced the challenge of dealing with non-proportional hazards in survival analysis?
In this episode, I team up with Kaspar Rufibach, a statistical methodology expert, to break down what proportional hazards mean, why the assumption often fails, and how you can tackle these situations effectively.
We explain key concepts like hazard functions, discuss practical ways to analyze and visualize survival data, and share strategies for designing better clinical trials.
Whether you’re working on your first survival analysis or refining your approach, this episode will equip you with the tools to address non-proportional hazards confidently.
