Regression adjustment refines statistical comparisons by controlling for baseline differences between groups. Researchers use this method to isolate a treatment’s true effect, removing bias from confounding variables. It is widely applied in clinical trials, economics, and social sciences. Program evaluators, data analysts, and policy makers benefit most, gaining more accurate, credible results from observational or experimental data.
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