dc.creatorMARQUES, EHD
dc.creatorKOCH, GG
dc.date1992
dc.date2014-07-30T13:48:54Z
dc.date2015-11-26T16:34:36Z
dc.date2014-07-30T13:48:54Z
dc.date2015-11-26T16:34:36Z
dc.date.accessioned2018-03-28T23:16:51Z
dc.date.available2018-03-28T23:16:51Z
dc.identifierCommunications In Statistics-simulation And Computation. Marcel Dekker Inc, v. 21, n. 3, n. 731, n. 752, 1992.
dc.identifier0361-0918
dc.identifierWOS:A1992JD37800009
dc.identifier10.1080/03610919208813047
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/54545
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/54545
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1271244
dc.descriptionIn the health and social sciences, researchers often encounter categorical data for which complexities come from a nested hierarchy and/or cross-classification for the sampling structure. A common feature of these studies is a non-standard data structure with repeated measurements which may have some degree of clustering. In this paper, methodology is presented for the joint estimation of quantities of interest in the context of a stratified two-stage sample with bivariate dichotomous data. These quantities are the mean value pi of an observed dichotomous response for a certain condition or time-point and a set of correlation coefficients for intra-cluster association for each condition or time period and for inter-condition correlation within and among clusters. The methodology uses the cluster means and pairwise joint probability parameters from each cluster. They together provide appropriate information across clusters for the estimation of the correlation coefficients.
dc.description21
dc.description3
dc.description731
dc.description752
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.subjectCLUSTERED ATTRIBUTE DATA
dc.subjectINTRACLASS CORRELATION, MODULAR ESTIMATES
dc.subject2 STAGE SAMPLING
dc.subjectWEIGHTED LEAST SQUARES METHOD
dc.subjectLongitudinal Data-analysis
dc.titleANALYSIS OF BIVARIATE DICHOTOMOUS DATA FROM A STRATIFIED 2-STAGE CLUSTER SAMPLE
dc.typeArtículos de revistas


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