In epidemiology, power refers to the probability that a study will detect an effect if there is an actual effect to be detected. This is calculated as 1 minus the probability of a Type II error (β, or false negative rate). High power means there is a high likelihood of detecting a true effect, while low power means there is a higher chance of missing it.
