Models for Nested Binary and Ordinal Data

Ezzet, Farkad; Whitehead, John

doi:10.1007/978-1-4612-3680-1_16

Farkad Ezzet⁵ &
John Whitehead⁵

Part of the book series: Lecture Notes in Statistics ((LNS,volume 57))

411 Accesses

Summary

This paper introduces a normal random effects model for multiple measurements recorded on an ordinal scale with c categories. The model is general and appropriate for a wide range of practical applications. One such application is a cross-over study for which a detailed examination is provided. Particular attention will be focussed on the special case of binary responses, enabling a comparison between the method of this paper and an alternative GLIM approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Chapter: USD 29.95; Price excludes VAT (USA)

eBook: USD 84.99; Price excludes VAT (USA)

Softcover Book: USD 109.99; Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

References

Clayton, D. and Cuzick, J. (1985). Multivariate generalisations of the proportional hazards model. J. R. Statist Soc A., 148, 82–117.
Article MathSciNet MATH Google Scholar
Ezzet, F. and Whitehead, J. (1989). A random efffects model for binary data from cross-over clinical trials, (in preparation).
Google Scholar
Kenward, M.G. and Jones, B. (1987). A log linear model for binary cross-over data. Appl. Statist, 36, 192–204.
Article MathSciNet MATH Google Scholar
McCullagh, P. (1980). Regression models for ordinal data. J. R. Statist Soc. B., 42, 109–122.
MathSciNet MATH Google Scholar
McCullagh, P. and Nelder, J. A. (1983). Generalised Linear Models. London: Chapman and Hall.
Google Scholar
Whitehead, J. and Ezzet, F. (1989). Random effects linear models for binary, ordinal and grouped survival data, (in preparation).
Google Scholar
Zimmermann, H. and Rahlfs, V. (1978). Testing hypotheses in the two-period change-over with binary data. Biometrical J., 20, 133–141.
Article MathSciNet MATH Google Scholar

Download references

Author information

Authors and Affiliations

Department of Applied Statistics, University of Reading, Whiteknights, Reading, RG6 2AN, England
Farkad Ezzet & John Whitehead

Authors

Farkad Ezzet
View author publications
You can also search for this author in PubMed Google Scholar
John Whitehead
View author publications
You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

Istituto di Biometria e Statistica Medica, Via Venezian, 1, 20133, Milano, Italy
Adriano Decarli
Centre for Applied Statistics, Fylde College, Lancaster University, LA1 4YF, Lancaster, UK
Brian J. Francis
Polytechnic of North London, Holloway Road, N7 8DB, London, UK
Robert Gilchrist
Insitut für Statistik, Universität Innsbruck, Innrain 52, 6020, Innsbruck, Austria
Gilg U. H. Seeber

Rights and permissions

Reprints and permissions

Copyright information

About this paper

Cite this paper

Ezzet, F., Whitehead, J. (1989). Models for Nested Binary and Ordinal Data. In: Decarli, A., Francis, B.J., Gilchrist, R., Seeber, G.U.H. (eds) Statistical Modelling. Lecture Notes in Statistics, vol 57. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3680-1_16

Download citation

DOI: https://doi.org/10.1007/978-1-4612-3680-1_16
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97097-4
Online ISBN: 978-1-4612-3680-1
eBook Packages: Springer Book Archive

Publish with us

Policies and ethics