Morabia A, Ten Have T, Landis J R
Clinical Epidemiology Division, University Hospital, Genève, Switzerland.
J Clin Epidemiol. 1997 Jul;50(7):809-12. doi: 10.1016/s0895-4356(97)00053-x.
We define interaction fallacy as the situation in which heterogeneity of odds ratios suggests an interaction that does actually not exist among the corresponding risk ratios. We provide a hypothetical example of interaction fallacy between the presence of the germ-line BRCA1 mutation, age at first live birth, and breast cancer risk based on data from the literature. More generally, we present a set of hypothetical conditions under which interaction fallacy may occur.
比值比的异质性表明存在交互作用,但在相应的风险比中实际并不存在这种交互作用。我们基于文献数据提供了一个关于种系BRCA1突变的存在、首次活产年龄和乳腺癌风险之间交互作用谬误的假设示例。更一般地,我们提出了一组可能发生交互作用谬误的假设条件。