Utilizing Biologically Based Models to Estimate Carcinogenic Risk
The limitations associated with using biologically-based mathematical models for the estimation of carcinogenic risks from long-term chemical exposures at low dose levels represents a statistical and mathematical challenge with special relevance to environmental research. Determining an adequate model for estimating the relationship between dose and response is critical to reducing potential bias in the risk estimation process. This talk discusses the various assumptions and models used in carcinogenic risk assessment. The emphasis will be on the accuracy with which the magnitude of the carcinogenic risk, the shape of the dose-response relationship and the overall variability of the risk estimates can be determined from the available data.
KeywordsEquivalent Dose Tumor Incidence Intermediate Cell Cancer Risk Assessment Mixed Function Oxidase
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