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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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
id ftdatacite:10.3205/15gmds174
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spelling ftdatacite:10.3205/15gmds174 2023-05-15T16:27:43+02:00 Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study Hennig, Frauke Hoffmann, Barbara Ickstadt, Katja 2015 text/html https://dx.doi.org/10.3205/15gmds174 http://www.egms.de/en/meetings/gmds2015/15gmds174.shtml de ger German Medical Science GMS Publishing House Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). http://creativecommons.org/licenses/by/4.0 CC-BY Confounder DAG Text Conference Abstract article-journal ScholarlyArticle 2015 ftdatacite https://doi.org/10.3205/15gmds174 2021-11-05T12:55:41Z 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) Conference Object Greenland DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language German
topic Confounder
DAG
spellingShingle Confounder
DAG
Hennig, Frauke
Hoffmann, Barbara
Ickstadt, Katja
Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study
topic_facet Confounder
DAG
description 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)
format Conference Object
author Hennig, Frauke
Hoffmann, Barbara
Ickstadt, Katja
author_facet Hennig, Frauke
Hoffmann, Barbara
Ickstadt, Katja
author_sort Hennig, Frauke
title Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study
title_short Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study
title_full Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study
title_fullStr Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study
title_full_unstemmed Confounder-Equivalence in DAG-based Confounder-Selection – Results of a Simulation Study
title_sort confounder-equivalence in dag-based confounder-selection – results of a simulation study
publisher German Medical Science GMS Publishing House
publishDate 2015
url https://dx.doi.org/10.3205/15gmds174
http://www.egms.de/en/meetings/gmds2015/15gmds174.shtml
geographic Greenland
geographic_facet Greenland
genre Greenland
genre_facet Greenland
op_rights Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung).
http://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3205/15gmds174
_version_ 1766017203087343616

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