Epidemiological studies that investigate the relationships between health behaviors and diseases may be affected by both known and unknown confounding factors. Alcohol use is one of these behaviors that have been intensively investigated in epidemiological studies. This manuscript introduced a simple test that can identify confounded epidemiological studies. This approach is sensitive to both known and unknown confounders. It provides a new perspective to develop measures for evidence selection in the future.
Keywords: evidence-based medicine, bias, epidemiology, causality, health behaviors
Liang, W. (2013). Evaluating Epidemiological Evidence: A Simple Test. International Journal of Medical Sciences, 10(11), 1459-1461. https://doi.org/10.7150/ijms.6455.
Liang, W. Evaluating Epidemiological Evidence: A Simple Test. Int. J. Med. Sci. 2013, 10 (11), 1459-1461. DOI: 10.7150/ijms.6455.
Liang W. Evaluating Epidemiological Evidence: A Simple Test. Int J Med Sci 2013; 10(11):1459-1461. doi:10.7150/ijms.6455. https://www.medsci.org/v10p1459.htm
Liang W. 2013. Evaluating Epidemiological Evidence: A Simple Test. Int J Med Sci. 10(11):1459-1461.