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Problems of the Model Choice in Classes of Mendelian Inheritance Models

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Medical Data Analysis (ISMDA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2526))

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Abstract

Model choice problems are looked at in classes of Mendelian inheritance models. Already for small allele numbers the model classes get very extensive. Statistical methods don’t suffice for the decision for an inheritance model. It is necessary to look at parent-child relationships. Effects of a faulty model choice on the data evaluation are discussed.

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References

  1. Vogel, F., Motulsky A.G.: Human genetics. Springer-Verlag, Berlin Heidelberg New York (1976)

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  3. Biebler, K.E., Jäger, B.: Punkt-und Konfidenzschätzungen von Allelwahrscheinlichkeiten. In: Simianer, H. et al(eds.): Biometrische Aspekte der Genomanalyse. GinkgoPark Mediengesellschaft, Gützkow (1996)

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  4. Ott, J.: Analysis of Human Genetic Linkage. The Johns Hopkins University Press, Baltimore (1991)

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Author information

Authors and Affiliations

  1. Institut für Biometrie und Medizinische Informatik, Ernst-Moritz-Arndt-Universität, Rathenaustraße 48, D - 17 487, Greifswald

    Bernd Jäger & Karl-Ernst Biebler

Authors
  1. Bernd Jäger
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  2. Karl-Ernst Biebler
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Editor information

Editors and Affiliations

  1. Dept. of Human Physiology and Pharmacology, University of Rome La Sapienza, P. le A. Moro, 5, 00185, Rome, Italy

    Alfredo Colosimo  & Paolo Sirabella  & 

  2. TCE Laboratory, Istituto Superiore di Sanità, V. le Regina Elena, 299, 00161, Rome, Italy

    Alessandro Giuliani

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© 2002 Springer-Verlag Berlin Heidelberg

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Jäger, B., Biebler, KE. (2002). Problems of the Model Choice in Classes of Mendelian Inheritance Models. In: Colosimo, A., Sirabella, P., Giuliani, A. (eds) Medical Data Analysis. ISMDA 2002. Lecture Notes in Computer Science, vol 2526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36104-9_11

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  • DOI: https://doi.org/10.1007/3-540-36104-9_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00044-0

  • Online ISBN: 978-3-540-36104-6

  • eBook Packages: Springer Book Archive

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