Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

An approximate method for population toxicokinetic analysis with aggregated data

Abstract : Standard statistical models for analyzing inter-individual variability in clinical pharmacokinetics (nonlinear mixed effects; hierarchical Bayesian) require individual data. However, for environmental or occupational toxicants only aggregated data are usually available, so toxicokinetic analyses typically ignore population variability. We propose a hierarchical Bayesian approach to estimate inter-individual variability from the observed mean and variance at each time point, using a bivariate normal (or lognormal) approximation to their joint likelihood. Through analysis of both simulated data and real toxicokinetic data from 1,3-butadiene exposures, we conclude that given information on the form of the individual-level model, useful information on inter-individual variability may be obtainable from aggregated data, but that additional sensitivity and identifiability checks are recommended.
Document type :
Journal articles
Complete list of metadata

Cited literature [26 references]  Display  Hide  Download
Contributor : Gestionnaire Civs Connect in order to contact the contributor
Submitted on : Thursday, March 20, 2014 - 3:27:52 PM
Last modification on : Sunday, September 15, 2019 - 1:26:01 PM
Long-term archiving on: : Friday, June 20, 2014 - 12:30:30 PM


Files produced by the author(s)




Weihsueh A. Chiu, Frédéric y. Bois. An approximate method for population toxicokinetic analysis with aggregated data. Journal of Agricultural Biological and Environmental Statistics, 2007, 12 (3), pp.346-363. ⟨10.1198/108571107X229340⟩. ⟨ineris-00961914⟩



Record views


Files downloads