Dosemeci M, Wacholder S, Lubin J H
Epidemiology and Biostatistics Program, National Cancer Institute, Rockville, MD 20892.
Am J Epidemiol. 1990 Oct;132(4):746-8. doi: 10.1093/oxfordjournals.aje.a115716.
The authors present some examples to demonstrate that in certain nondifferential misclassification conditions with polychotomous exposure variables, estimates of odds ratios for categories at intermediate level of risk can be biased away from the null or can change direction. In addition, the authors present two examples to demonstrate that the slope of the dose-response trend for the true distributions can change direction, creating a false inverse trend, even if the misclassification is nondifferential.
作者列举了一些例子来证明,在具有多分类暴露变量的某些无差异错误分类情况下,中等风险水平类别比值比的估计值可能会偏离无效值,或者可能会改变方向。此外,作者还给出了两个例子来证明,即使错误分类是无差异的,真实分布的剂量反应趋势斜率也可能会改变方向,从而产生错误的反向趋势。