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...
Main Authors: | , , |
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Format: | Conference Object |
Language: | German |
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German Medical Science GMS Publishing House
2015
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Subjects: | |
Online Access: | https://dx.doi.org/10.3205/15gmds174 http://www.egms.de/en/meetings/gmds2015/15gmds174.shtml |
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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