Mathematical models of cancer and their use in risk assessment

Cancer risk assessment necessarily involves the use of mathematical models. Although risk estimates can be extremely sensitive to underlying assumptions in such models, the assumptions are frequently overlooked when a particular model is used. This paper presents four examples to illustrate how the alteration of assumptions can have a large effect on risk estimates. Ways of avoiding undue model dependence are discussed.