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An exponential family model for clustered multivariate binary data

✍ Scribed by Geert Molenberghs; Louise M. Ryan

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
217 KB
Volume
10
Category
Article
ISSN
1180-4009

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✦ Synopsis

This paper focuses on the analysis of clustered multivariate binary data that arise from developmental toxicity studies. In these studies, pregnant mice are exposed to chemicals to assess possible adverse eects on developing fetuses. Multivariate binary outcomes arise when each fetus in a litter is assessed for the presence of malformations and/or low birth weight. We analyse the data using a multivariate exponential family model which is Β―exible in terms of allowing response rates to depend on cluster size. Maximum likelihood estimation of model parameters and the construction of score tests for dose eect are discussed.

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