Why Are Bayesian Adaptive Designs Important in Epidemiology?
In the context of epidemiology, Bayesian adaptive designs offer several advantages over traditional fixed designs. They provide increased efficiency and ethical benefits by potentially requiring fewer participants to achieve the same level of statistical power. This is particularly important in the study of infectious diseases, where rapid responses are critical. Additionally, these designs allow for the incorporation of prior information, which can be crucial in emerging outbreaks where early data can guide decision-making.
