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http://hdl.handle.net/1942/3427
Title: | Methods for analyzing multivariate binary data, with association between outcomes of interest | Authors: | MOLENBERGHS, Geert Ritter, Linda L. |
Issue Date: | 1996 | Publisher: | INTERNATIONAL BIOMETRIC SOC | Source: | BIOMETRICS, 52(3). p. 1121-1133 | Abstract: | A likelihood based method is proposed for multivariate categorical data. It is assumed that, together with the marginal outcomes, the set of pairwise associations between outcomes is of scientific interest. The focus is on binary outcomes and it is indicated how the proposed method generalizes to categorical outcomes. A connection with second-order generalized estimating equations (GEE2) is established. The method is applied to analyze data from a developmental toxicity study. Une methode fondue sur la vraisemblance est proposee pour des donnees categorielles multivariees. On se place dans le contexte oui lon s'interesse aussi bien aux resultats marginaux qu'aux resultats apparies. Le developpement de cet article est consacre aux resultats binaires, et on indique comment la methode proposee peut etre generalisee a des resultats categoriels. On etablit egalement un lien avec les equations d'estimation generalisees (GEE2). La menthode est appliquee 'a lanalyse de donnees provenant d'une etude de toxicologie du developpement. |
Notes: | INT INST DRUG DEV,B-1050 BRUSSELS,BELGIUM.Molenberghs, G, LIMBURGS UNIV CTR,UNIV CAMPUS,B-3590 DIEPENBEEK,BELGIUM. | Keywords: | binary data; categorical data; Fisher scoring algorithm; generalized estimating equations; likelihood function; maximum likelihood estimation; odds ratio;binary data; categorical data; Fisher scoring algorithm; generalized estimating equations; likelihood function; maximum likelihood estimation; odds ratio | Document URI: | http://hdl.handle.net/1942/3427 | DOI: | 10.2307/2533074 | ISI #: | A1996VF83800033 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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