A class of models for multi-way contingency tables obtained from a log-linear model by imposing non linear constraints on the interaction parameters are presented. In particular the constraints will regard measures of bivariate association between a pair of categorical variables based on the local-continuation and continuation-local odds ratios.The contribution of this work, according to the author's knowledge, is the simultaneous constraining of more than one type of odds ratio and the approach to manage the row and the column effect of the dependence relationship between categorical variables.

Cazzaro, M. (2004). Models for contingency tables specified by linear contraints on two types of odds ratios. STATISTICA & APPLICAZIONI, 2(1), 89-100.

Models for contingency tables specified by linear contraints on two types of odds ratios

CAZZARO, MANUELA
2004

Abstract

A class of models for multi-way contingency tables obtained from a log-linear model by imposing non linear constraints on the interaction parameters are presented. In particular the constraints will regard measures of bivariate association between a pair of categorical variables based on the local-continuation and continuation-local odds ratios.The contribution of this work, according to the author's knowledge, is the simultaneous constraining of more than one type of odds ratio and the approach to manage the row and the column effect of the dependence relationship between categorical variables.
Articolo in rivista - Articolo scientifico
Log-linear models; Logit models; Generalized odds ratios; Constrained maximum likelihood
English
2004
2
1
89
100
none
Cazzaro, M. (2004). Models for contingency tables specified by linear contraints on two types of odds ratios. STATISTICA & APPLICAZIONI, 2(1), 89-100.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/3983
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