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Marginal regression analysis of multivariate binary response

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

Record type: Article

Abstract

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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Published date: November 1995

Identifiers

Local EPrints ID: 34310

URI: http://eprints.soton.ac.uk/id/eprint/34310

DOI: doi:10.1093/biomet/82.4.847

ISSN: 0006-3444

PURE UUID: cb74cf3a-7960-48b5-90d5-6c8f2b5c392f

ORCID for Peter W.F. Smith:

orcid.org/0000-0003-4423-5410

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Date deposited: 18 Jan 2008

Last modified: 07 Oct 2020 01:34

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Contributors

Author: Anders Ekholm

Author: Peter W.F. Smith

Author: John W. McDonald

University divisions

Faculties (pre 2011 reorg) > Faculty of Law Arts & Social Sciences (pre 2011 reorg) > Social Sciences (pre 2011 reorg) > Social Statistics (pre 2011 reorg)
Current Faculties > Faculty of Social Sciences > School of Economic Social and Political Science > Social Sciences (pre 2011 reorg) > Social Statistics (pre 2011 reorg)
School of Economic Social and Political Science > Social Sciences (pre 2011 reorg) > Social Statistics (pre 2011 reorg)

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