Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/279
Title: Flexible quantitative risk assessment for developmental toxicity studies
Authors: FAES, Christel 
GEYS, Helena 
AERTS, Marc 
MOLENBERGHS, Geert 
Issue Date: 2001
Source: Klein, Bjarke & Korsholm, Lars (Ed.) Proceedings of the 16th International Workshop on Statistical Modelling. p. 441-444.
Abstract: Risk assessment for developmental toxicity studies in rodents is faced with the fairly involved data structure of clustere 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.
Document URI: http://hdl.handle.net/1942/279
Category: C2
Type: Proceedings Paper
Appears in Collections:Research publications

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