期刊
AMERICAN JOURNAL OF EPIDEMIOLOGY
卷 167, 期 1, 页码 86-89出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/aje/kwm257
关键词
bias (epidemiology); case-control studies; data interpretation; statistical; epidemiologic methods; genetics
The case-control study design is popular for genetic association studies of complex human diseases. However, case-control studies may suffer from bias due to population stratification. In this paper, the authors present simple formulas that can set a limit to the havoc population stratification bias can wreak (the lower and upper bounds of the confounding rate ratio and the upper bound of the type I error rate). The authors demonstrate applications of these formulas using two examples. The formulas can help researchers make more prudent interpretations of their (potentially biased) results.
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