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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/270

Title: Robust benchmark dose determination based on profile score methods
Authors: Claeskens, Gerda
Aerts, Marc
Molenberghs, Geert
Ryan, Louise
Keywords: Clustered data
Mathematical Statistics
Issue Date: 2002
Publisher: KLUWER
Citation: Environmental and Ecological Statistics, 9(4). p. 357-377
Abstract: We investigate several methods commonly used to obtain a benchmark dose and show that those based on full likelihood or profile likelihood methods might have severe shortcomings. We propose two new profile likelihood-based approaches which overcome these problems. Anoher contribution is the extension of the benchmark dose determination to non full likelihood models, such as quasi-likelihood, generalized estimating equations, which are widely used in settings such as developmental toxicity where clustered data are encountered. This widening of the scope of application is possible by the use of (robust) score statistics. Benchmark dose methods are applied to a data set from a developmental toxicity study.
URI: http://hdl.handle.net/1942/270
DOI: 10.1023/A:1020962622829
ISI #: 000179090800003
ISSN: 1352-8505
Category: A1
Type: Journal Contribution
Validation: ecoom, 2003
Appears in Collections: Research publications

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