The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
ACT Brief: Moving Beyond AI Pilots, FDA Advances Bayesian Trials, and Sites Strained by Trial Design
In today’s ACT Brief, we examine what will separate sponsors that scale AI beyond pilots in 2026, break down the FDA’s new ...
1. Spatially explicit Bayesian clustering techniques offer a powerful tool for ecology and wildlife management, as genetic divisions can be correlated with landscape features. We used these methods to ...
Bayesian methods have emerged as a robust framework for assessing system reliability in environments marked by uncertainty and limited data availability. By incorporating prior knowledge and updating ...
Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
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