Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study

Introduction: Adjustment for confounding variables in observational studies is still the most essential task faced by epidemiological researchers. In 1999 Greenland et al. proposed the DAG (directed acyclic graph)-approach as a non-parametric tool for confounder identification in epidemiology. This...

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Bibliographic Details
Main Authors: Hennig, Frauke, Hoffmann, Barbara, Ickstadt, Katja
Format: Conference Object
Language:German
Published: German Medical Science GMS Publishing House 2015
Subjects:
Confounder
DAG
Greenland
Online Access:https://dx.doi.org/10.3205/15gmds174
http://www.egms.de/en/meetings/gmds2015/15gmds174.shtml
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Summary:Introduction: Adjustment for confounding variables in observational studies is still the most essential task faced by epidemiological researchers. In 1999 Greenland et al. proposed the DAG (directed acyclic graph)-approach as a non-parametric tool for confounder identification in epidemiology. This [zum vollständigen Text gelangen Sie über die oben angegebene URL] : GMDS 2015; 60. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

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