Bayesian adaptive designs are flexible and dynamic approaches to conducting clinical trials and epidemiological studies. These designs use Bayesian statistical methods to update the probability distributions of the parameters of interest as new data become available. This allows researchers to make real-time adjustments to the study, such as altering sample sizes, modifying treatment allocations, or stopping the study early for efficacy or futility.
