Article

Local causal discovery in epidemiology: an application to quantifying the effect of diabetes on severe liver fibrosis in patients with viral hepatitis

2025-09-03

Abstract excerpt

<h4>Background</h4> Estimating the controlled direct effect (CDE) from observational data is challenging when the DAG is unknown. Causal discovery methods can infer a partially oriented DAG, enabling the identification of potential adjustment sets. We use a local causal discovery algorithm that focuses on the relevant portion of the graph, reducing assumptions and complexity compared to global methods. This appro...

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Literature Corpus work: e3a58e55-7ee5-5aee-9983-b63989bb6597
DOI: 10.1101/2025.09.02.25334768

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Local causal discovery in epidemiology: an application to quantifying the effect of diabetes on severe liver fibrosis in patients with viral hepatitisDOI 10.1101/2025.09.02.25334768Read

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