This afternoon I’m giving a talk at the Houston INFORMS chapter entitled “Bayesian adaptive clinical trials: promise and pitfalls.”
When I started working in adaptive clinical trials, I was very excited about the potential of such methods. The clinical trial methods most commonly used are very crude, and there’s plenty of room for improvement.
Over time I became concerned about overly complex methods, methods which were good for academic publication but may not be best for patients. Such methods are extremely time-consuming to develop and may not perform as well in practice as simpler methods.
There’s a great deal of opportunity between the extremes, methods that are more sophisticated than the status quo without being unnecessarily complex.
3 thoughts on “Bayesian adaptive clinical trials: promise and pitfalls”
Are the slides or video available somewhere?
No audio or video. I may post the slides, but they don’t capture much of the talk. I only gave a brief prepared presentation and spent about 3x as long answering questions.
Thanks! I wish I could hear the talk.
I’m grappling with similar issues of complexity vs. usability in machine learning models for healthcare applications, especially as related to understanding causal relationships.