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具有三个暴露水平的病例对照研究中无差异错误分类导致的偏倚。

Bias from nondifferential misclassification in case-control studies with three exposure levels.

作者信息

Correa-Villaseñor A, Stewart W F, Franco-Marina F, Seacat H

机构信息

Department of Epidemiology, School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Epidemiology. 1995 May;6(3):276-81. doi: 10.1097/00001648-199505000-00015.

Abstract

In case-control studies with three exposure levels where disease risk is associated with exposure, the direction of bias in the odds ratios (ORs) from nondifferential misclassification depends on the risk level, misclassification rates, and exposure distributions. To extend these generalizations, we present a graphical analysis of bias from nondifferential misclassification assuming linear and nonlinear monotonic increasing exposure-risk patterns. In both middle and upper exposure levels, bias is usually toward the null, increasing in magnitude as the misclassification rates increase and as the skewness of the exposure distribution increases. In the middle exposure level, bias away from the null may occur when the misclassification rate is low in the reference level and moderate to high in the upper exposure level, and risk increases with exposure. Bias away from the null does not occur in the upper exposure level. In both excess risk levels, crossover bias (that is, a reversal of the OR) may occur when exposure classification is worse than chance. The magnitude of bias away from the null is constrained by the unbiased OR of the upper exposure level, whereas that of crossover bias is constrained by the inverse of the unbiased OR of the upper exposure level.

摘要

在疾病风险与暴露相关的具有三个暴露水平的病例对照研究中,非差异性错误分类导致的比值比(OR)偏差方向取决于风险水平、错误分类率和暴露分布。为了扩展这些一般性结论,我们针对假设为线性和非线性单调递增暴露-风险模式的非差异性错误分类偏差进行了图形分析。在中等和高暴露水平下,偏差通常趋向于无效值,随着错误分类率的增加以及暴露分布偏度的增加而增大。在中等暴露水平下,当参考水平的错误分类率较低而高暴露水平的错误分类率为中等至高时,且风险随暴露增加,可能会出现偏离无效值的偏差。在高暴露水平下不会出现偏离无效值的偏差。在两个超额风险水平下,当暴露分类比随机分类更差时,可能会出现交叉偏差(即OR的反转)。偏离无效值的偏差幅度受高暴露水平无偏OR的限制,而交叉偏差的幅度受高暴露水平无偏OR倒数的限制。

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