This chapter explores the challenges of analyzing adverse events in clinical trials, particularly in oncology, and the implications of varying follow-up times on data interpretation. The discussion emphasizes the need for a consistent approach to both efficacy and safety assessments, highlighting common pitfalls and statistical complexities. By advocating for refined analytical methods, the chapter seeks to improve the accuracy of benefit-risk evaluations in clinical research.
✔ How differing follow-up times and censoring bias AE results.
✔ The role of the Aalen–Johansen estimator and why it should be standard practice.
✔ What the SAVVY collaboration achieved by uniting pharma, academia, and regulators.
✔ Real-world examples of how safety analyses can dramatically change the interpretation of treatment risk.
✔ Lessons on collaboration, methodology, and change management in the pharma industry.
Why You Should Listen:
Adverse events are a critical part of any trial, yet they’re often analyzed using simplistic methods that can mislead decision-makers. This episode will help you:
Gain insights you can apply immediately to your own projects to improve the accuracy and credibility of your analyses.
Understand the hidden biases in traditional AE analysis.
Learn how to align safety and efficacy assessments for a fairer benefit–risk evaluation.
Discover the power of collaboration between pharma, academia, and regulators through the SAVVY project.
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