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The Young Epidemiology Scholars Program (YES) is supported by The Robert Wood Johnson Foundation and administered by the College Board. Confounding in Epidemiology Mona Baumgartner Department of Epidemiology

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What is confounding in epidemiology?

Confounding in epidemiology refers to a situation where the effect of an exposure on an outcome is distorted by the presence of another variable.

Who is required to file confounding in epidemiology?

Researchers and epidemiologists conducting studies that involve analyzing the effects of exposures on outcomes are required to address and report confounding in epidemiology.

How to fill out confounding in epidemiology?

Confounding in epidemiology can be addressed by carefully designing studies, collecting relevant data on potential confounders, and using statistical methods to control for confounding variables.

What is the purpose of confounding in epidemiology?

The purpose of addressing confounding in epidemiology is to ensure that the true relationship between an exposure and an outcome is accurately estimated, without being distorted by the presence of other variables.

What information must be reported on confounding in epidemiology?

Information related to potential confounding variables, methods used to control for confounding, and results of analyses adjusting for confounding must be reported in epidemiological studies.

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