Marginal Models with Multiplicative Variance Components for Over-dispersed Binomial Data
نویسندگان
چکیده
SUMMARY A marginal model for the analysis of binomial data involving one or two random factors is presented. Two variance-covariance models are derived based on the multiplicative error formulation. The parameters of mean and variance components are estimated using the quasi-likelihood and method of moments, respectively. An application of the model is illustrated by an analysis of multivariate over-dispersed binomial data from a developmental toxicity experiment.
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