Examples of real-world situations where bias and confounding have affected the validity of epidemiological studies, including the associations between hormone replacement therapy and breast cancer, and between smoking and lung cancer.
Examples of real-world situations where bias and confounding have affected the validity of epidemiological studies, including the associations between hormone replacement therapy and breast cancer, and between smoking and lung cancer.