Applications of population approaches in toxicology

Frédéric Y. Bois (1)

1 INERIS - Institut National de l'Environnement Industriel et des Risques

Many experimental or observational studies in toxicology are best analysed in a population framework. Recent examples include investigations of the extent and origin of intra-individual variability in toxicity studies, incorporation of genotypic information to address intra-individual variability, optimal design of experiments, and extension of toxicokinetic modelling to the analysis of biomarker studies. Bayesian statistics provide powerful numerical methods for fitting population models, particularly when complex mechanistic models are involved. Challenges and limitations to the use of population models, in terms of basic structure, computational burden, ease of implementation and data accessibility, are identified and discussed.

Keywords: TOXICOCINETIQUE; BIOSTATISTIQUES<br />---<br />BAYES; TOXICODYNAMIC MODELS; TOXICOKINETIC MODELS; POPULATION MODELS

Domains: Toxicology; Environmental Sciences

Frédéric Y. Bois. Applications of population approaches in toxicology. Toxicology Letters, 2001, 120 (1-3), pp.385-394. ⟨10.1016/S0378-4274(01)00270-3⟩. ⟨ineris-00961855⟩