Pseudolikelihood modeling of multivariate outcomes in developmental toxicology

Publisher:
American Statistical Association
Publication Type:
Journal Article
Citation:
Journal of the American Statistical Association, 1999, 94 (447), pp. 734 - 745
Issue Date:
1999-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011008584OK.pdf1.76 MB
Adobe PDF
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.
Please use this identifier to cite or link to this item: