Estimating equations for parameters in means and covariances of multivariate discrete and continuous responses.
Generalized estimating equations are introduced in an ad hoc fashion for the covariance matrix of a multivariate response. These equations are to be solved jointly with score equations from a generalized linear model for mean parameters. A class of quadratic exponential models is used to develop joint estimating equations for mean and covariance parameters in a more systematic fashion, and proposals for the use of such equations are developed. Comments on the relative merits of the ad hoc and model-based approaches to estimation are given and a regression illustration with a bivariate response is provided.
Prentice
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RL
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98104.
Zhao
L P
LP
D000927:Anticonvulsants / Q000627:therapeutic use; D002986:Clinical Trials as Topic / Q000379:methods*; D006259:Craniocerebral Trauma / Q000503:physiopathology; D006801:Humans; D008433:Mathematics; D015233:Models, Statistical; D015999:Multivariate Analysis; D011336:Probability; D012640:Seizures / Q000517:prevention & control
D000927:Anticonvulsants