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Matchen oder multiple logistische Regression bei Fall-Kontroll-Studien?

  • Conference paper
Methoden der Statistik und Informatik in Epidemiologie und Diagnostik

Part of the book series: Medizinische Informatik und Statistik ((MEDINFO,volume 40))

Zusammenfassung

Zur Kontrolle von Störvariablen (Confoundern) bei der Schätzung der odds ratio (OR) in einer Fall-Kontroll-Studie werden u.a. Paarbildungstechniken und/oder Regressionsansätze eingesetzt. Bei der Design-Methode ‘Paarbildung’, oder allgemein, ‘kategoriales Matchen’ ist jedoch abzuwägen zwischen einer Reduktion der Fallzahl durch Matchen nach sehr vielen Störfaktoren, wobei der Datensatz sich oft weit von der Population entfernt, oder einer Verzerrung des OR-Schätzers, wenn nicht ausreichend viele Faktoren kontrolliert werden, aber die Fallzahl annehmbar groß bleibt.

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Author information

Authors and Affiliations

  1. Institut für Med. Informationsverarbeitung, Statistik und Biomathematik, Ludwig-Maximilians-Universität, Marchioninistr. 15, 8000, München 70, Deutschland

    P. Dirschedl & H. K. Selbmann

Authors
  1. P. Dirschedl
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  2. H. K. Selbmann
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Editors and Affiliations

  1. Universitäts-Krankenhaus Eppendorf, Institut für Mathematik und Datenverarbeitung in der Medizin, Universität Hamburg, Martinistraße 52, 2000, Hamburg 20, Deutschland

    J. Berger  & K. H. Höhne  & 

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© 1983 Springer-Verlag Berlin Heidelberg

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Dirschedl, P., Selbmann, H.K. (1983). Matchen oder multiple logistische Regression bei Fall-Kontroll-Studien?. In: Berger, J., Höhne, K.H. (eds) Methoden der Statistik und Informatik in Epidemiologie und Diagnostik. Medizinische Informatik und Statistik, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-81938-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-81938-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-12007-0

  • Online ISBN: 978-3-642-81938-4

  • eBook Packages: Springer Book Archive

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