在充分病因-组分病因框架中协同作用的识别。
The identification of synergism in the sufficient-component-cause framework.
作者信息
VanderWeele Tyler J, Robins James M
机构信息
Department of Health Studies, University of Chicago, Chicago, Illinois 60637, USA.
出版信息
Epidemiology. 2007 May;18(3):329-39. doi: 10.1097/01.ede.0000260218.66432.88.
Various concepts of interaction are reconsidered in light of a sufficient-component-cause framework. Conditions and statistical tests are derived for the presence of synergism within sufficient causes. The conditions derived are sufficient but not necessary for the presence of synergism. In the context of monotonic effects, the conditions derived are closely related to effect modification on the risk difference scale; however, this is not the case without the assumption of monotonic effects.
根据充分病因框架重新审视了各种相互作用的概念。推导了充分病因中协同作用存在的条件和统计检验方法。所推导的条件对于协同作用的存在是充分的，但并非必要条件。在单调效应的背景下，所推导的条件与风险差异尺度上的效应修正密切相关；然而，在没有单调效应假设的情况下并非如此。
Zotero 插件