title: Generalized estimating equations for multivariate response with the variates having different distributions.
abstract: This paper addresses the problem of analyzing multivariate response with the variates having different distributions. We use the generalized estimating equations proposed by Prentice and Zhao (1) to estimate mean and covariance parameters. Wald statistics are used to test hypotheses about the parameters. Data from a two-group study of competing programs to increase memory recall in geriatric patients are analyzed. We are interested in determining whether there is a simultaneous increase in test scores with one variate being continuous and another being dichotomous. In a second example, comparisons of before-and-after treatment serum cholesterol levels and number of snacks eaten per day are made in an experiment to determine efficacy of a program aimed at simultaneously reducing both measurements.
authors.affiliation: Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112-1393, USA.
authors.forename: W L
authors.initials: WL
authors.lastname: May
authors.forename: W D
authors.initials: WD
authors.lastname: Johnson
mesh_terms: D002784:Cholesterol / Q000097:blood; D003627:Data Interpretation, Statistical; D004435:Eating; D006801:Humans; D008432:Mathematical Computing; D015999:Multivariate Analysis; D013223:Statistics as Topic / Q000379:methods*
chemical_list: D002784:Cholesterol