New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...

Bayesian approaches to variable selection and model comparison construct a coherent probabilistic framework that integrates prior beliefs with observed data. In variable selection, each candidate ...

Bayesian graphical models provide a principled framework for representing complex dependency structures among multivariate variables by combining graph theory with probabilistic inference. In these ...

The US Food and Drug Administration (FDA) recently highlighted three case studies showing how sponsors can incorporate innovative study designs in their clinical trials using the agency’s Complex ...