VanderWeele Tyler J, Robins James M
Department of Health Studies, Division of Biological Sciences, University of Chicago, Chicago, IL 60637, USA.
Am J Epidemiol. 2007 Nov 1;166(9):1096-104. doi: 10.1093/aje/kwm179. Epub 2007 Aug 16.
In this paper, the authors incorporate sufficient-component causes into the directed acyclic graph (DAG) causal framework in order to make apparent several properties of conditioning on a common effect. By incorporating sufficient causes on a graph, it is possible to detect conditional independencies within strata of the conditioning variable which are not evident on DAGs without the representation of sufficient causes. It is also possible to determine the sign of the conditional covariance of two causes when conditioning on their common effect if some knowledge of the sufficient-cause mechanisms for the common effect is available. The incorporation of sufficient causes within the DAG framework also allows for the representation of interactions on DAGs and for the unification of several different causal frameworks. For illustration, the results are applied to an example concerning the familial coaggregation of two disorders.
在本文中,作者将充分病因纳入有向无环图(DAG)因果框架,以便揭示以共同效应为条件时的几个特性。通过在图中纳入充分病因,能够检测出在以充分病因表示的DAG上不明显的、以条件变量分层内的条件独立性。如果掌握了共同效应的充分病因机制的一些知识,那么在以两个病因的共同效应为条件时,也能够确定这两个病因的条件协方差的符号。在DAG框架内纳入充分病因,还能在DAG上表示相互作用,并统一几种不同的因果框架。为作说明,将结果应用于一个关于两种疾病的家族性共同聚集的例子。