Models of Association Versus Casual Models for Contingency Tables

Tunaru, Radu (2001) Models of Association Versus Casual Models for Contingency Tables. Journal of Royal Statistical Society, Series D, 50 (3). pp. 257-269. ISSN 0039-0526. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1111/1467-9884.00276

Abstract

The paper compares graphical association models and graphical chain models for contingency tables summarizing road accident data. It is shown that, for the same set of data, the two types of analysis may give different answers. It is described how to use collapsibility to reduce the dimensionality of the data without having problems with Simpson's paradox

Item Type: Article
Uncontrolled keywords: Collapsibility; Contingency tables; Graphical chain models; Graphical models; Observational study
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculties > Social Sciences > Kent Business School > Accounting and Finance
Depositing User: Jennifer Knapp
Date Deposited: 19 Jul 2010 13:37
Last Modified: 10 Jun 2014 10:56
Resource URI: http://kar.kent.ac.uk/id/eprint/25119 (The current URI for this page, for reference purposes)
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