What role do confounding and bias play in study design?
Confounding and bias are critical considerations in epidemiological study designs. Confounding occurs when an extraneous variable is associated with both the exposure and the outcome, potentially leading to a spurious association. Bias refers to systematic errors that can distort the study results. Epidemiologists use various methods, such as randomization, matching, stratification, and statistical adjustment, to minimize these issues.
