Modelling conditional and marginal association in contingency tables

Bergsma, Wicher ORCID: 0000-0002-2422-2359 and Rudas, Tamas (2002) Modelling conditional and marginal association in contingency tables. Annales de la Faculté des Sciences de Toulouse, 11 (4). pp. 455-468. ISSN 0240-2963

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Abstract

Standard tools for the analysis of the (average) conditional association structure of the distribution on a multiway contingency table are long-linear models. A different association concept is that of marginal association and this paper demonstrates how marginal log-linear parameters can be used to measure this aspect of association. The paper gives a non technical discussion of these two aspects of association by discussing their complimentary nature and also describes how conditional association is naturally incorporated in the framework provided by marginal log-linear parameters. The properties and interpretation of these parameters are discussed, including the variation independence of heirarchically related marginal log-linear parameters, and the modelling implications of these results are indicated.

Item Type:	Article
Official URL:	http://www.numdam.org/
Additional Information:	© 2002 Université Paul Sabatier
Divisions:	Care Policy and Evaluation Centre
Subjects:	H Social Sciences > H Social Sciences (General)
Date Deposited:	28 May 2008 09:44
Last Modified:	01 Oct 2024 03:31
URI:	http://eprints.lse.ac.uk/id/eprint/5106

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