title: A parametric model for cluster correlated categorical data.
abstract: A fully parametric copula model for symmetric dependent clustered categorical data is discussed. The model accommodates any marginal regression models of interest and admits a broad range of within-cluster association. The form of the distribution is independent of cluster size and may be used to model data with varying cluster sizes. The model contains an association parameter that is estimated from the data to give a measure of strength of the within-cluster association and also a test of independence. Two examples are given to illustrate methods.
authors.affiliation: AT&T Bell Laboratories, Holmdel, New Jersey 07733, USA.
authors.forename: S G
authors.initials: SG
authors.lastname: Meester
authors.forename: J
authors.initials: J
authors.lastname: MacKay
mesh_terms: D000704:Analysis of Variance; D002648:Child; D002675:Child, Preschool; D016000:Cluster Analysis; D005541:Forced Expiratory Volume; D006801:Humans; D007223:Infant; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D010033:Otitis Media / Q000188:drug therapy; D016032:Randomized Controlled Trials as Topic; D012044:Regression Analysis; D012140:Respiratory Tract Diseases / Q000503:physiopathology