In the context of Epidemiology, prior probability refers to the initial estimation of the probability that an event or condition is present before new data or evidence is considered. It is grounded in Bayesian statistics and plays a crucial role in the Bayesian inference process. Prior probability can be informed by historical data, expert judgment, or a combination of both.
