Signed directed acyclic graphs for causal inference.
Signed directed acyclic graphs for causal inference.
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DOI：
10.1111/j.1467-9868.2009.00728.x
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发表时间：
2010-01-01
期刊：
影响因子：
--
通讯作者：
Robins JM
中科院分区：
文献类型：
--
作者：
VanderWeele TJ;Robins JM
本文描述了因果有向无环图上的符号边的形式规则，并说明了这些规则在因果关系推理中的作用。特别地，引入了单调效应、弱单调效应和符号边的概念。结果开发这些单调的影响和签署的边缘，在中间变量的存在下，干预的因果效应的符号。将有符号边纳入有向无环图因果框架还允许开发管理单调效应与两个变量之间的协方差的符号之间的关系的规则。它表明，当某些假设的单调效应，那么这些结果可以用来得出结论，即使数据丢失的混淆变量的因果效应的存在。
Formal rules governing signed edges on causal directed acyclic graphs are described in this paper and it is shown how these rules can be useful in reasoning about causality. Specifically, the notions of a monotonic effect, a weak monotonic effect and a signed edge are introduced. Results are developed relating these monotonic effects and signed edges to the sign of the causal effect of an intervention in the presence of intermediate variables. The incorporation of signed edges into the directed acyclic graph causal framework furthermore allows for the development of rules governing the relationship between monotonic effects and the sign of the covariance between two variables. It is shown that when certain assumptions about monotonic effects can be made then these results can be used to draw conclusions about the presence of causal effects even when data is missing on confounding variables.
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影响因子：
3.7
作者：
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通讯作者：
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影响因子：
2.1
作者：
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通讯作者：
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作者：
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作者：
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