How Do Epidemiologists Address Bias and Confounding?
Bias and confounding are significant concerns in epidemiological research. Bias refers to systematic errors that can distort the results, while confounding occurs when an extraneous variable influences the association between the exposure and outcome. Epidemiologists use various techniques, such as randomization, matching, and statistical adjustment, to minimize these issues and ensure the validity of their findings.
