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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/343

Title: Pseudolikelihood modelling of multivariate outcomes in developmental toxicology
Authors: Geys, Helena
Molenberghs, Geert
Ryan, Louise M.
Keywords: Clustered data
Categorical data
Issue Date: 1999
Citation: Journal of the American Statistical Association, 94(447). p. 734-745
Abstract: 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.
URI: http://hdl.handle.net/1942/343
DOI: 10.1080/01621459.1999.10474176
ISI #: 000082756400014
ISSN: 0162-1459
Type: Journal Contribution
Validation: ecoom, 2000
Appears in Collections: Research publications

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