Concept

Confounders in Causal Inference

Confounders are variables that affect both the outcome and the factor we are trying to determine as the cause. The confounders are what RCTs try to "disarm."

For example, when measuring the effect of Alcohol use (X) on Lung cancer (Y), Smoking (Z) may be a confounder because those who consume more alcohol also tend to smoke more.

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Updated 2026-05-02

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Data Science

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