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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Case-control studies with multinomial responses: a proposal for analysis

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Author(s):
Ana Carolina Cintra Nunes Mafra ; Luciana Bertoldi Nucci ; Ricardo Cordeiro ; Celso Stephan
Total Authors: 4
Document type: Journal article
Source: Cadernos de Saúde Pública; v. 26, n. 3, p. -, Mar. 2010.
Abstract

This study reviews articles on case-control studies in which the cases were classified in two or more types. Application of multinomial models and their adequacy for case-control studies are discussed. Among the available multinomial adjustments, we argue that the polytomous logistic model is the most suitable for obtaining epidemiological measures of risk and association in case-control studies. By way of illustration, we present an application of this model in a population-based case-control study, comparing the results with those obtained in a binomial logistic model. The multinomial approach allows investigating, in a single analysis, the occurrence of associations between covariates and more or more subclasses of cases, thus providing the epidemiologically relevant possibility of identifying individualized risk and protective factors for each subclass. (AU)

FAPESP's process: 07/01892-1 - Use of multinomial models for estimating work accident risk spatial distribution in a case-control study
Grantee:Ana Carolina Cintra Nunes Mafra
Support type: Scholarships in Brazil - Master
FAPESP's process: 06/05920-7 - Estimability of association and effect measures in spatial case-control studies
Grantee:Laécio Carvalho de Barros
Support type: Research Projects - Thematic Grants
FAPESP's process: 07/07435-1 - Estimation of spatial risk distribution in case-control studies using multinomial model
Grantee:Luciana Bertoldi Nucci
Support type: Scholarships in Brazil - Post-Doctorate