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Titre :
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Simple Formulas for Gauging the Potential Impacts of Population Stratification Bias. (2008)
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Auteurs :
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Wen-Chung LEE ;
Liang-Yi WANG ;
Research Center for Genes. Environment and Human Health. Graduate Institute of Epidemiology. College of Public Health. National Taiwan University. Taipei. TWN
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Type de document :
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Article
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Dans :
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American journal of epidemiology (vol. 167, n° 1, Janvier 2008)
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Pagination :
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86-89
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Langues:
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Anglais
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Mots-clés :
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Population
;
Stratification
;
Biais
;
Enquête cas témoin
;
Epidémiologie
;
Interprétation
;
Génétique
;
Homme
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Résumé :
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[BDSP. Notice produite par INIST-CNRS qwQ6wR0x. Diffusion soumise à autorisation]. 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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