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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/371

Title: Flexible quantitative risk assessment for developmental toxicity based on fractional polynomial predictors
Authors: Geys, Helena
Molenberghs, Geert
Declerck, Lieven
Ryan, Louise
Keywords: Categorical data
Clustered data
Issue Date: 2000
Citation: Biometrical Journal, 42(3). p. 279-302
Abstract: Risk assessment for developmental toxicity studies in rodents is faced with the fairly involved data structure of clustered multivariate binary outcomes. While likelihood methods for this setting do not abound, we show that a conditional model, combined with pseudo-likelihood inference and fractional polynomial predictor functions, as proposed by Royston and Altman (1994), are a promising way forward. The methods are illustrated using teratology data collected under the National Toxicology Program.
URI: http://hdl.handle.net/1942/371
DOI: 10.1002/1521-4036(200007)42:3<279::AID-BIMJ279>3.0.CO;2-F
ISI #: 000087923500002
ISSN: 0323-3847
Category: A1
Type: Journal Contribution
Validation: ecoom, 2001
Appears in Collections: Research publications

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