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Gesundheitswesen 2011; 73(12): 901-902
DOI: 10.1055/s-0031-1291187
Directed Acyclic Graphs
© Georg Thieme Verlag KG Stuttgart · New York

Erstellung und Auswertung von Directed Acyclic Graphs mit dagR

Exploring Directed Acyclic Graphs Using dagR
L. P. Breitling
1   Deutsches Krebsforschungszentrum Heidelberg (DKFZ), Abteilung für Klinische Epidemiologie und Alternsforschung C070
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Publication History

Publication Date:
22 December 2011 (online)

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Schlüsselwörter

Confounder-Selektion - kausale Modelle - DAG - kausale Diagramme - Bias - Software

Key words

confounder selection - causal models - DAG - causal diagrams - bias - software
 

  • Literatur

  • 1 Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology 1999; 10: 37-48
    CrossrefPubMedGoogle Scholar
  • 2 Glymour MM, Greenland S. Causal diagrams. In: Rothman KJ, Greenland S, Lash TL. (eds.) Modern Epidemiology. 3rd ed. Philadelphia: Wolters Kluwer, Lippincott Williams & Wilkins; 2008: 183-209
    Google Scholar
  • 3 Breitling LP. dagR: a suite of R functions for directed acyclic graphs. Epidemiology 2010; 21: 586-587
    CrossrefPubMedGoogle Scholar
  • 4 Schisterman EF, Cole SR, Platt RW. Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology 2009; 20: 488-495
    CrossrefPubMedGoogle Scholar
  • 5 Knüppel S, Stang A. DAG program: identifying minimal sufficient adjustment sets. Epidemiology 2010; 21: 159
    PubMedGoogle Scholar
  • 6 Textor J, Hardt J, Knüppel S. DAGitty: A graphical tool for analyzing causal diagrams [Letter]. Epidemiology 2011; 22: 745
    PubMedGoogle Scholar