Many experimental or observational studies in toxicology are best analysed
in a population framework. Recent examples include investigations of the ex
tent and origin of intra-individual variability in toxicity studies, incorp
oration of genotypic information to address intra-individual variability, o
ptimal design of experiments, and extension of toxicokinetic modelling to t
he analysis of biomarker studies. Bayesian statistics provide powerful nume
rical methods for fitting population models, particularly when complex mech
anistic models are involved. Challenges and limitations to the use of popul
ation models, in terms of basic structure, computational burden, ease of im
plementation and data accessibility, are identified and discussed. (C) 2001
Elsevier Science Ireland Ltd. All rights reserved.