How Do Epidemiologists Handle Bias and Confounding?
Bias and confounding are common challenges in epidemiological research. Bias refers to systematic errors that can lead to incorrect conclusions, while confounding occurs when the relationship between exposure and outcome is influenced by an extraneous variable. Epidemiologists use various methods, such as randomization, matching, and statistical adjustments, to minimize these issues.
