“…Finally, it has been argued that Bayesian methods for PB-TK modelling have emerged as the best suited approaches, given the large amount of prior information they require (Bernillon and Bois, 2000). A number of applications of posterior Bayesian PB-TK modelling have been published on chloroform (Lyons et al, 2008), dichloromethane (David et al, 2006), methylmercury (Allen et al, 2007), nanoparticles (Péry et al, 2009), tetrachloroethylene (Chiu and Bois, 2006;Covington et al, 2007) and cadmium (Amzal et al, 2009;EFSA, 2009c (Bartels et al, 2012). PB-PK models have been shown to be of great help for a quantitative interpretation of human biomonitoring data to relate exposure to blood concentrations as exemplified with the NHANES biomonitoring data for cadmium (Clewell et al, 2008;Ruiz et al, 2010).…”