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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3054

Title: An exponential family model for clustered multivariate binary data
Authors: Molenberghs, Geert
Ryan, LM
Issue Date: 1999
Citation: ENVIRONMETRICS, 10(3). p. 279-300
Abstract: 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 effects 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 flexible in terms of allowing response rates to depend on duster size. Maximum likelihood estimation of model parameters and the construction of score tests for dose effect are discussed. Copyright (C) 1999 John Wiley & Sons, Ltd.
Notes: Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. Harvard Univ, Sch Publ Hlth, Dana Farber Canc Inst, Boston, MA 02115 USA. Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA.Molenberghs, G, Limburgs Univ Ctr, Ctr Stat, Univ Campus,Bldg D, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/3054
DOI: 10.1002/(SICI)1099-095X(199905/06)10:3<279::AID-ENV352>3.0.CO;2-X
ISI #: 000081368100005
ISSN: 1180-4009
Type: Journal Contribution
Validation: ecoom, 2000
Appears in Collections: Research publications

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