[case-control Studies With Multinomial Responses: A Proposal For Analysis].

dc.creatorMafra, Ana Carolina Cintra Nunes
dc.creatorNucci, Luciana Bertoldi
dc.creatorCordeiro, Ricardo
dc.creatorStephan, Celso
dc.date2010-Mar
dc.date2015-11-27T13:17:50Z
dc.date2015-11-27T13:17:50Z
dc.date.accessioned2018-03-29T01:10:51Z
dc.date.available2018-03-29T01:10:51Z
dc.identifierCadernos De Saúde Pública. v. 26, n. 3, p. 451-9, 2010-Mar.
dc.identifier1678-4464
dc.identifier
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/20464064
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/198841
dc.identifier20464064
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1299074
dc.descriptionThis 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.
dc.description26
dc.description451-9
dc.languagepor
dc.relationCadernos De Saúde Pública
dc.relationCad Saude Publica
dc.rightsaberto
dc.rights
dc.sourcePubMed
dc.subjectCase-control Studies
dc.subjectHumans
dc.subjectLogistic Models
dc.title[case-control Studies With Multinomial Responses: A Proposal For Analysis].
dc.typeArtículos de revistas


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