Gastroenterology and hepatology from bed to bench
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Gastroenterol Hepatol Bed Bench · Jan 2012
How to control confounding effects by statistical analysis.
A Confounder is a variable whose presence affects the variables being studied so that the results do not reflect the actual relationship. There are various ways to exclude or control confounding variables including Randomization, Restriction and Matching. ⋯ When experimental designs are premature, impractical, or impossible, researchers must rely on statistical methods to adjust for potentially confounding effects. These Statistical models (especially regression models) are flexible to eliminate the effects of confounders.