Bayesian Adaptive Design is a statistical framework that allows for a more flexible and efficient approach to clinical trials. Unlike traditional methods, it uses Bayesian probability to update the probability of an outcome as more data becomes available. This continuous updating allows for real-time adjustments to the trial, making it particularly useful in rapidly evolving fields such as neonatal disorders.
