Role of mathematical models in assessment of risk and in attempts to define management strategy.
Risk assessment of food-borne carcinogens is becoming a common practice at FDA. Actual risk is not being estimated, only the upper limit of risk. The risk assessment process involves a large number of steps and assumptions, many of which affect the numerical value estimated. The mathematical model which is to be applied is only one of the factors which affect these numerical values. To fulfill the policy objective of using the "worst plausible case" in estimating the upper limit of risk, recognition needs to be given to a proper balancing of assumptions and decisions. Interaction between risk assessors and risk managers should avoid making or giving the appearance of making specific technical decisions such as the choice of the mathematical model. The importance of this emerging field is too great to jeopardize it by inappropriately mixing scientific judgments with policy judgments. The risk manager should understand fully the points and range of uncertainty involved in arriving at the estimates of risk which must necessarily affect the choice of the policy or regulatory options available.
D000818:Animals; D002274:Carcinogens, Environmental / Q000009:adverse effects*; D005502:Food / Q000592:standards*; D005503:Food Additives / Q000633:toxicity; D005506:Food Contamination; D006202:Hair Dyes / Q000633:toxicity; D006801:Humans; D007880:Legislation, Drug; D008954:Models, Biological; D012306:Risk; D012308:Risk Management; D013549:Sweetening Agents / Q000633:toxicity; D014481:United States; D014486:United States Food and Drug Administration
D002274:Carcinogens, Environmental; D005503:Food Additives; D006202:Hair Dyes; D013549:Sweetening Agents