Compositional data comprise the parts of some whole, for which all parts sum to that whole. They are prevalent in many epidemiological contexts. Although many of the challenges associated with analysing compositional data have been discussed previously, we do so within a formal causal framework by utilizing directed acyclic graphs (DAGs).

中文翻译：

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成分数据分析的因果推理视角

组合数据包含某个整体的各个部分，所有部分总和为该整体。它们在许多流行病学背景下很普遍。尽管之前已经讨论了与分析成分数据相关的许多挑战，但我们通过利用有向无环图 (DAG) 在正式的因果框架内进行了讨论。