Bias refers to systematic errors that can skew the findings of a study. In epidemiological studies, common types of bias include selection bias, where the participants chosen are not representative of the larger population, and confounding, where an outside factor affects both the study's exposure and outcome. For instance, a study examining the link between dietary habits and heart disease might be confounded by lifestyle factors like exercise.
