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Modelling conditional and marginal association in contingency tables

Bergsma, Wicher 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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Identification Number: 10.5802/afst.1033


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:
Additional Information: © 2002 Université Paul Sabatier
Divisions: Personal Social Services Research Unit
Subjects: H Social Sciences > H Social Sciences (General)
Date Deposited: 28 May 2008 09:44
Last Modified: 23 Sep 2021 23:06

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