Figure 6.

Relative contributions of uncertainty and variability to differences between the 95^th percentile and median C_ss. Monte Carlo analysis of both variability (triangles) and uncertainty (circles) give distributions that can be characterized by a 95^th percentile C_ss for which individuals achieve a higher C_ss for the same fixed dose rate – these individuals can be considered more “sensitive” to chemical exposure. Uncertainty and variability can be combined (squares) to estimate a 95^th percentile reflecting both factors. For most chemicals, variability contributes more than uncertainty to the difference between the Css predicted for the median Cl_int and f_up values.