A Paini
Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making
Paini, A; Leonard, JA; Joossens, E; Bessems, JGM; Desalegn, A; Dorne, JL; Gosling, JP; Heringa, MB; Klaric, M; Kliment, T; others
Authors
JA Leonard
E Joossens
JGM Bessems
A Desalegn
JL Dorne
Professor John Paul Gosling john-paul.gosling@durham.ac.uk
Professor
MB Heringa
M Klaric
T Kliment
others
Citation
Paini, A., Leonard, J., Joossens, E., Bessems, J., Desalegn, A., Dorne, J., Gosling, J., Heringa, M., Klaric, M., Kliment, T., & others. (2019). Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making. Computational Toxicology, 9, 61-72
Journal Article Type | Article |
---|---|
Publication Date | 2019 |
Deposit Date | May 4, 2022 |
Journal | Computational Toxicology |
Publisher | Elsevier |
Volume | 9 |
Pages | 61-72 |
Public URL | https://durham-repository.worktribe.com/output/1208153 |
You might also like
AddiVortes: (Bayesian) Additive Voronoi Tessellations
(2024)
Journal Article
Enhancing the Measurement of Sentence Severity through Expert Knowledge Elicitation
(2022)
Journal Article
A Bayesian Computer Model Analysis of Robust Bayesian Analyses
(2022)
Journal Article
Gaussian process modeling of heterogeneity and discontinuities using Voronoi tessellations
(2021)
Journal Article