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Marginal models with multiplicative variance components for overdispersed binomial data
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Journal Article
Marginal models with multiplicative variance components for overdispersed binomial data
1997
Overview
A marginal model for binomial data where the experimental units 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 quasi-likelihood and method of moments, respectively. The model is applied to analyzing multivariate overdispersed binomial data from a developmental toxicity experiment.
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