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).

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Original Publication URL: http://dx.doi.org/10.1093/biomet/82.4.847

Description/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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1093/biomet/82.4.847
ISSNs: 0006-3444 (print)
Related URLs:
Subjects: H Social Sciences > H Social Sciences (General)
Divisions : University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
ePrint ID: 34310
Accepted Date and Publication Date:
Status
November 1995Published
Date Deposited: 18 Jan 2008
Last Modified: 31 Mar 2016 12:01
Projects:
The analysis of complex survey data
Funded by: ESRC National Centre for Research Methods (H519255005)
1 October 1993 to 30 September 1996
URI: http://eprints.soton.ac.uk/id/eprint/34310

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