Risk estimation involves the application of quantitative models of dos
e versus response to carcinogenicity data. Recent advances in biology,
computing, and mathematics have led to the application of mathematica
lly complicated, mechanistically based models of carcinogenesis to the
estimation of risks. This paper focuses on two aspects of this applic
ation, distinguishing between models using available data and the deve
lopment of new models to keep pace with research developments.