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Marginal regression analysis of multivariate binary response

Record type: Article

We propose the use of the mean parameter for regression analysis of a multivariate binary response. We model the association using dependence ratios defined in terms of the mean parameter, the components of which are the joint success probabilities of all orders. This permits flexible modelling of higher-order associations, using maximum likelihood estimation. We reanalyse two data sets, one with variable cluster size and the other a longitudinal data set with constant cluster size.

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Citation

Ekholm, Anders, Smith, Peter W.F. and McDonald, John W. (1995) Marginal regression analysis of multivariate binary response Biometrika, 82, (4), pp. 847-854. (doi:10.1093/biomet/82.4.847).

More information

Published date: November 1995

Identifiers

Local EPrints ID: 34310
URI: http://eprints.soton.ac.uk/id/eprint/34310
ISSN: 0006-3444
PURE UUID: cb74cf3a-7960-48b5-90d5-6c8f2b5c392f
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

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Date deposited: 18 Jan 2008
Last modified: 17 Jul 2017 15:50

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Contributors

Author: Anders Ekholm
Author: John W. McDonald

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