Epidemiology
An interaction effect occurs when the relationship between two variables changes depending on the level of a third variable. This means that the impact of one variable on an outcome may differ based on another variable's presence or intensity. Understanding interaction effects is crucial for accurately interpreting data in epidemiological studies, as it helps reveal how different factors can work together to influence health outcomes.
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