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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 | Publisher: | ARNOLD, HODDER HEADLINE PLC | Source: | 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. | Keywords: | benchmark dose; beta-binomial model; conditional model; developmental toxicity; dose-response; fractional polynomials;benchmark dose; beta-binomial model; conditional model; developmental toxicity; dose-response; fractional polynomials | Document URI: | http://hdl.handle.net/1942/2543 | ISSN: | 1471-082X | e-ISSN: | 1477-0342 | DOI: | 10.1191/1471082X03st051oa | ISI #: | 000185683400003 | Rights: | (C) Arnold 2003 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2004 |
Appears in Collections: | Research publications |
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