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A Model for a Binary Response with Misclassifications

  • Conference paper
GLIM 82: Proceedings of the International Conference on Generalised Linear Models

Part of the book series: Lecture Notes in Statistics ((LNS,volume 14))

Summary

Observations on a binary response may be subject to misclassification. A linear logit model for the true binary response is specified and estimated jointly with the error probabilities for the two types of misclassification. The model is illustrated using a subset of the well-known coal-miners data. The problem is formulated as an incomplete data problem and the EM-algorithm and GLIM is used for estimation. The connection to latent structure models is discussed.

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References

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Author information

Authors and Affiliations

  1. Department of Statistics, University of Helsinki, SF-00100, Helsinki, Finland

    Anders Ekholm & Juni Palmgren

Authors
  1. Anders Ekholm
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  2. Juni Palmgren
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Editor information

Editors and Affiliations

  1. Department of Mathematics, The Polytechnic of North London, N7 8DB, Holloway, London, England

    Robert Gilchrist

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© 1982 Springer-Verlag New York Inc.

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Ekholm, A., Palmgren, J. (1982). A Model for a Binary Response with Misclassifications. In: Gilchrist, R. (eds) GLIM 82: Proceedings of the International Conference on Generalised Linear Models. Lecture Notes in Statistics, vol 14. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5771-4_13

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  • DOI: https://doi.org/10.1007/978-1-4612-5771-4_13

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-90777-2

  • Online ISBN: 978-1-4612-5771-4

  • eBook Packages: Springer Book Archive

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