Abstract
As discussed in chapters 3 and 4, the process of carcinogenesis is very complex. It is too complex to be described in full detail by a mathematical model. Therefore, modelling carcinogenesis implies simplifications that try to identify the most important features of the process. Resulting predictions can be tested in laboratory experiments with carcinogens or by analyses of epidemiological cohorts. Compared to conventional risk models used in epidemiology, as, e. g, the excess relative risk model, mathematical models of carcinogenesis have the advantage of a straightforward description of complex exposure scenarios. After identification of the action of a carcinogen on the parameters of the model, no additional parameters are necessary to calculate the effects of exposures that may change many times over lifetime or differ for the various members of the study cohort.
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Streffer, C. et al. (2004). Mathematical Models of Carcinogenesis. In: Wütscher, F. (eds) Low Dose Exposures in the Environment. Wissenschaftsethik und Technikfolgenbeurteilung, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08422-9_6
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