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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2543

Title: Use of fractional polynomials for dose-response modelling and quantitative risk assessment in developmental toxicity studies
Authors: Faes, Christel
Geys, Helena
Aerts, Marc
Molenberghs, Geert
Issue Date: 2003
Citation: STATISTICAL MODELLING, 3(2). p. 109-125
Abstract: Developmental toxicity studies are designed to assess the potential adverse effects of an exposure on developing fetuses. Safe dose levels can be determined using dose-response modelling. To this end, it is important to investigate the effect of misspecifying the dose-response model on the safe dose. Since classical polynomial predictors are often of poor quality, there is a clear need for alternative specifications of the predictors, such as fractional polynomials. By means of simulations, we will show how fractional polynomial predictors may resolve possible model misspecifications and may thus yield more reliable estimates of the benchmark doses.
Notes: Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. Limburgs Univ Ctr, Ctr Biostat, B-3590 Diepenbeek, Belgium.Faes, C, Limburgs Univ Ctr, Ctr Stat, Univ Campus,Bldg D, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/2543
DOI: 10.1191/1471082X03st051oa
ISI #: 000185683400003
ISSN: 1471-082X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2004
Appears in Collections: Research publications

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