RAR involves regularly scheduled interim analyses during the trial. As data is collected, the allocation probabilities are updated using pre-defined algorithms. For instance, if one treatment arm shows significantly better outcomes, the algorithm increases the probability of future participants being assigned to that arm. This dynamic adjustment can be executed using various statistical methods, such as Bayesian or frequentist approaches.
