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. (doi:10.1111/1467-9884.00276) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:25119)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| 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 |
|---|---|
| DOI/Identification number: | 10.1111/1467-9884.00276 |
| Uncontrolled keywords: | Collapsibility; Contingency tables; Graphical chain models; Graphical models; Observational study |
| Subjects: | H Social Sciences > H Social Sciences (General) |
| Divisions: | Divisions > Kent Business School - Division > Department of Accounting and Finance |
| Depositing User: | Jennifer Knapp |
| Date Deposited: | 19 Jul 2010 13:37 UTC |
| Last Modified: | 16 Nov 2021 10:03 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/25119 (The current URI for this page, for reference purposes) |
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