论文标题
查找和列出前门调整集
Finding and Listing Front-door Adjustment Sets
论文作者
论文摘要
从数据中确定新干预措施的影响是在广泛的经验科学中发现的重大挑战。鉴定这种影响的众所周知的策略是Pearl的前门（FD）标准（Pearl，1995）。 FD标准的定义是声明性的，只允许一个人决定特定集合是否满足标准。在本文中，我们提出了用于查找和枚举可能的集合满足FD标准的算法。这些结果可用于促进FD标准在因果效应估计中的实际应用，并帮助科学家选择具有所需属性的估计值，例如，基于成本，测量的可行性或统计能力。
Identifying the effects of new interventions from data is a significant challenge found across a wide range of the empirical sciences. A well-known strategy for identifying such effects is Pearl's front-door (FD) criterion (Pearl, 1995). The definition of the FD criterion is declarative, only allowing one to decide whether a specific set satisfies the criterion. In this paper, we present algorithms for finding and enumerating possible sets satisfying the FD criterion in a given causal diagram. These results are useful in facilitating the practical applications of the FD criterion for causal effects estimation and helping scientists to select estimands with desired properties, e.g., based on cost, feasibility of measurement, or statistical power.
