Pseudolikelihood modeling of multivariate outcomes in developmental toxicology

American Statistical Association
Publication Type:
Journal Article
Journal of the American Statistical Association, 1999, 94 (447), pp. 734 - 745
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The primary goal of this article is to determine benchmark doses based on the ethylene glycol study, which comprises data from a developmental toxicity study in mice. Because the data involve a vector of malformation indicators, a flexible model for multivariate clustered data is required. An exponential family model is considered and pseudolikelihood-based inferential tools are proposed, hence avoiding excessive computational requirements.
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