title: Marginal models for correlated binary responses with multiple classes and multiple levels of nesting.
abstract: A model for correlated binary data is presented. Marginal probabilities and odds ratios are allowed to have general regression structures that include multiple classes and multiple levels of nesting. Estimation is done through the generalized estimating equations approach of Liang and Zeger (1986, Biometrika 73, 13-22). They are contrasted with conditional models and recommendations for choosing between the two are given. Examples from genetic epidemiology are presented.
authors.affiliation: Department of Biostatistics, University of North Carolina, Chapel Hill 27599-7400.
authors.forename: B F
authors.initials: BF
authors.lastname: Qaqish
authors.forename: K Y
authors.initials: KY
authors.lastname: Liang
mesh_terms: D000328:Adult; D002386:Cataract / Q000453:epidemiology / Q000235:genetics; D002986:Clinical Trials as Topic / Q000379:methods*; D016000:Cluster Analysis; D005260:Female; D005826:Genetics, Medical / Q000379:methods*; D006801:Humans; D008297:Male; D008433:Mathematics; D015999:Multivariate Analysis; D012044:Regression Analysis; D012174:Retinitis Pigmentosa / Q000453:epidemiology / Q000235:genetics