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Using Directed Acyclic Graphs (Dags) to Represent the Data Generating Mechanisms of Disease and Healthcare Pathways: A Guide for Educators, Students, Practitioners and Researchers

2022-10-08

Abstract excerpt

Directed acyclic graphs (DAGs) are nonparametric causal path diagrams that have substantial utility as principled representations of disease and healthcare pathways, and of the underlying ‘data generating mechanisms’ these pathways involve. As such, DAGs provide a valuable bridge between: the aetiological knowledge, operational insight and professional experience on which clinical training and practice...

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Literature Corpus work
ec0339a9-4fde-5dc9-a19a-abe25132d41d
DOI
10.20944/preprints202210.0085.v1
Open publication

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Using Directed Acyclic Graphs (Dags) to Represent the Data Generating Mechanisms of Disease and Healthcare Pathways: A Guide for Educators, Students, Practitioners and ResearchersDOI 10.20944/preprints202210.0085.v1
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