Quantitative risk assessment for clustered binary data

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/273

Title:	Quantitative risk assessment for clustered binary data
Authors:	MOLENBERGHS, Geert DECLERCK, Lieven AERTS, Marc
Issue Date:	1995
Publisher:	Springer-Verlag
Source:	Seeber, Gilg U.H. & Francis, Brian J. & Hatzinger, Reinhold & Steckel-Berger, Gabriele (Ed.) Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling. p. 193-200.
Series/Report:	Lecture notes in Statistics
Series/Report no.:	104
Abstract:	The effect of misspecifying the parametric response model for a univariate clustered binary outcome from a toxicological stdy on the assessment of dose effect and on estimating a virtually safe dose is investigated. Marginal and conditional models are contrasted.
Keywords:	clustered data; dose-response models; likelihood estimation; risk assessment.
Document URI:	http://hdl.handle.net/1942/273
ISBN:	9780387945651
DOI:	10.1007/978-1-4612-0789-4
Type:	Proceedings Paper
Appears in Collections:	Research publications

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