Simple formulas for gauging the potential impacts of population stratification bias

Wen Chung Lee, Liang Yi Wang

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)86-89
Number of pages4
JournalAmerican Journal of Epidemiology
Volume167
Issue number1
DOIs
Publication statusPublished - 2008 Jan 1

All Science Journal Classification (ASJC) codes

  • Epidemiology

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