dc.creatorMarques, EHD
dc.creatorKoch, GG
dc.date1996
dc.date2014-08-01T18:43:14Z
dc.date2015-11-26T16:58:43Z
dc.date2014-08-01T18:43:14Z
dc.date2015-11-26T16:58:43Z
dc.date.accessioned2018-03-28T23:46:22Z
dc.date.available2018-03-28T23:46:22Z
dc.identifierCommunications In Statistics-simulation And Computation. Marcel Dekker Inc, v. 25, n. 1, n. 25, n. 39, 1996.
dc.identifier0361-0918
dc.identifierWOS:A1996TY60900003
dc.identifier10.1080/03610919608813296
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/82456
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/82456
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1278005
dc.descriptionA generalization of the methods for analyzing bivariate dichotomous data from a stratified two-stage cluster sample (Marques and Koch, 1992) is presented in this paper. This development includes the joint estimation of means for marginal distributions and a set of correlation measures for intra-cluster association for the respective outcomes of each response criterion and for correlation among response criteria for units sharing the same cluster in a multivariate polytomous data setting. The methodology is illustrated with a medical example of clinical effects of topical corticosteroids on healthy skin.
dc.description25
dc.description1
dc.description25
dc.description39
dc.languageen
dc.publisherMarcel Dekker Inc
dc.publisherNew York
dc.relationCommunications In Statistics-simulation And Computation
dc.relationCommun. Stat.-Simul. Comput.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectintra-cluster correlation
dc.subjectinter-condition correlation
dc.subjectrepeated measures
dc.subjectweighted least squares
dc.subjectLongitudinal Data-analysis
dc.subjectCategorical-data
dc.subjectBinary Data
dc.subjectOutcomes
dc.titleModel for distributions and correlation structure of multivariate polytomous data from a two-stage cluster sample
dc.typeArtículos de revistas


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