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Benchmark dose approach on quantitative data in health risk assessment
2001 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This report deals with the benchmark dose method for health risk assessment. A benchmark dose (BMD) is the dose of a substance corresponding to a predetermined change in the response rate of an adverse effect. The lower statistical bound on the BMD is an alternative to the traditional no-observed-adverse-effect-level (NOAEL) for setting acceptable daily intake values. Unlike the NOAEL, the BMD takes all dose-response data into account by fitting a mathematical model to the data. A program for calculating benchmark doses has been developed at the Karolinska Institutet, and a modification of this program is presented. The latter part discusses how to calculate BMD's from quantitative data in a manner that is consistent with those calculated from quantal data. Since there is a natural fraction scale for quantal data, it is rather evident how to define the change of response that corresponds to the BMD. It is possible to convert quantitative data into quantal, but by this dichotomization some of the information is lost. However, this is not the only possible approach. As will be shown, it is possible to express the risk in terms that are compatible with the quantal case without actually converting the data.

Place, publisher, year, edition, pages
Keyword [en]
Technology, benchmark dose, dose-response, dichotomization, health risk, assessment, log-likelihood, quantitative data
Keyword [sv]
URN: urn:nbn:se:ltu:diva-47470ISRN: LTU-EX--01/154--SELocal ID: 503c9f29-4f0a-4a3b-8036-6e423e3833c2OAI: diva2:1020795
Subject / course
Student thesis, at least 30 credits
Educational program
Engineering Physics, master's level
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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