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This volume assesses formal methods for the quantitative estimation
and prediction of human cancer risks. Quantitative estimates of
cancer risk can be expressed in different ways. In some cases
estimates of risk under conditions prevailing in the original data
are of primary interest; in others predictions of risk under other
conditions are required. Estimates of risk may be based on
empirical models that provide a reasonable description of the
available data or on models developed on the basis of plausible
assumptions about the mechanisms of carcinogenesis. Throughout this
volume established scientific principles of carcinogenesis are used
to support methods proposed for the quantitative estimation and
prediction of risk.
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