letterEpidemiologyAug 2, 2011WARClosed access

DAGitty

German Institute of Human Nutrition · University of Lübeck

PubMed
Indexed incrossrefpubmed

Abstract

To the Editor: Causal diagrams, also known as directed acyclic graphs,1,2 provide an entirely graphical, yet mathematically rigorous methodology for minimizing bias in epidemiologic studies.3,4 The analysis of causal diagrams can be cumbersome in practice, and lends itself well to automatization by a computer program. Important first steps in this regard include the development of the DAG program by Knüppel and Stang5 and dagR by Breitling.6 We announce the release of DAGitty, which provides a graphical user interface tailored to draw and analyze causal diagrams. DAGitty overcomes some performance obstacles (pointed out by Breitling6) that affect earlier software when analyzing large diagrams. The performance…

Citation impact

1,218
total citations
FWCI
19.26
Percentile
100%
References
10
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Diagram
  • Causal inference
  • Directed acyclic graph
  • Set (abstract data type)
  • Software
  • Path (computing)
  • Categorization
UN Sustainable Development Goals
  • Good health and well-being
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