Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners

► A biomathematical model of coal dust deposition, clearance, and retention was fit simultaneously to two human data sets. ► A Bayesian population analysis was used to calibrate the three-compartment lung model. ► Disposition parameters for the two data sets were in very good agreement.