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20 January 2019

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Int J Med Sci 2013; 10(11):1459-1461. doi:10.7150/ijms.6455

Short Research Communication

Evaluating Epidemiological Evidence: A Simple Test

Wenbin Liang

National Drug Research Institute, Curtin University, Perth, Western Australia, Australia


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

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See for full terms and conditions.
How to cite this article:
Liang W. Evaluating Epidemiological Evidence: A Simple Test. Int J Med Sci 2013; 10(11):1459-1461. doi:10.7150/ijms.6455. Available from