Confounders are hidden variables that distort the true relationship between a cause and effect in research. They create misleading associations, often skewing data analysis. Researchers and data scientists use statistical adjustments to isolate their impact, ensuring accurate conclusions. This benefits medical professionals, economists, and social scientists seeking reliable insights from observational studies.
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