Confounding is a problem that epidemiologists aim to eliminate, and effect measure modification is an interesting occurrence that epidemiologist aim to describe.

Question

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Confounding is a bias that epidemiologists try to control or eliminate to ensure accurate results, while effect measure modification is a phenomenon that they aim to describe as it provides insights into how the effect of an exposure varies across different groups.

Confounding Is a Problem That Epidemiologists Aim to Eliminate, and Effect