In epidemiology, two variables are considered independent if the occurrence or value of one does not affect the occurrence or value of the other. This concept is crucial for accurately interpreting statistical analyses and drawing valid conclusions from data. For example, if the incidence of a disease in one population is independent of the incidence in another population, it means that changes in disease frequency in one group do not influence the other.
