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Residuenanalyse des Unabhängigkeitsmodells Zweier Kategorialer Variablen

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Prognose- und Entscheidungsfindung in der Medizin

Part of the book series: Medizinische Informatik und Statistik ((MEDINFO,volume 62))

Summary

For the ‘cellwise’ analysis of independence of two categorial variables, Haberman (1973) proposes the method of ‘adjusted residuals’. Fuchs and Kenett (1980) use (the absolute value of) the maximal adjusted residual as a measure for the deviation from the null hypothesis.

In our paper it is shown how these tests can be combined with a multiple test procedure. For control of the multiple level ∝ , a modification of Holm’s (1979) procedure is recommended. If one of the two variables is alternative, the principle of closed tests procedures (cf. Sonnemann, 1982) leads to still more powerful results (Perli, Hommel, Lehmacher, 1985).

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Literatur

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© 1985 Springer-Verlag Berlin Heidelberg

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Hommel, G., Lehmacher, W., Perli, HG. (1985). Residuenanalyse des Unabhängigkeitsmodells Zweier Kategorialer Variablen. In: Jesdinsky, H.J., Trampisch, H.J. (eds) Prognose- und Entscheidungsfindung in der Medizin. Medizinische Informatik und Statistik, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82651-1_44

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  • DOI: https://doi.org/10.1007/978-3-642-82651-1_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16068-7

  • Online ISBN: 978-3-642-82651-1

  • eBook Packages: Springer Book Archive

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