Analysis of PBPK models for risk characterization.

  title={Analysis of PBPK models for risk characterization.},
  author={Fr{\'e}d{\'e}ric Y. Bois},
  journal={Annals of the New York Academy of Sciences},
Adoption of a Bayesian framework for risk characterization permits the seamless integration of different kinds of information available in order to choose and parameterize risk models. It also becomes easy to disentangle uncertainty from variability, through hierarchical statistical modeling. Appropriate numerical techniques can be found, for example, in the recently developed arsenal of Markov chain, Monte Carlo simulations. The developments in this area can actually be viewed as extensions of… CONTINUE READING