Statistical Modelling 3 (2003), 109–125
Use of fractional polynomials for dose-response modelling and
quantitative risk assessment in developmental toxicity studies
C. Faes
Center for Statistics,
Limburgs Universitair Centrum,
Universitaire Campus, Building D,
B–3590 Diepenbeek,
Belgium.
eMail:
christel.faes@luc.ac.be
H. Geys, M. Aerts, and G. Molenberghs
Center for Statistics, Biostatistics,
Limburgs Universitair Centrum,
Diepenbeek, Belgium.
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.
Keywords:
BENCHMARK DOSE; BETA-BINOMIAL MODEL; CONDITIONAL MODEL;
DEVELOPMENTAL TOXICITY; DOSE-RESPONSE; FRACTIONAL POLYNOMIALS.
Downloads:
GAUSS
code in zipped archive
For the NTP data, please, contact Christel Faes at
christel.faes@luc.ac.be
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