Adaptive Randomization

Adaptive randomization is a method used in clinical trials where the chance of assigning a patient to a particular treatment changes based on how well previous patients responded. For example, if one treatment appears more effective, the system increases the likelihood that future patients will receive that treatment. This approach helps to potentially improve outcomes within the trial and can make the study more ethical by favoring better-performing options as evidence accumulates. Essentially, it dynamically adjusts who gets what treatment, balancing the need for reliable data with the goal of benefiting current participants.