Abstract
Estimating functions to predict dose-response functions below available experimental or epidemiological data is a great cause of controversy and economic impact. Information entropy is used to evaluate different forms of dose-response function for doses below epidemiological and experimental levels. When both the threshold dose and the mean response at some upper-end dose are known, the maximum-entropy dose-response function is found to be a horizontal line at the response related to the upper-end dose. However, when the threshold dose is uncertain as well, linear and various exponential dose-response functions can result.
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© 1992 Springer Science+Business Media Dordrecht
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Lund, J.R., Englehardt, J.D. (1992). Information Entropy and Dose-Response Functions for Risk Analysis. In: Smith, C.R., Erickson, G.J., Neudorfer, P.O. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2219-3_22
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DOI: https://doi.org/10.1007/978-94-017-2219-3_22
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4220-0
Online ISBN: 978-94-017-2219-3
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