Empirical evaluation of sufficient similarity in dose-response for environmental risk assessment of chemical mixtures

Le Anna G. Stork, Chris Gennings, Walter H. Carter, Linda K. Teuschler, Edward W. Carney

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

When toxicity data are not available for a chemical mixture of concern, U.S. Environmental Protection Agency (EPA) guidelines allow risk assessment to be based on data for a surrogate mixture considered "sufficiently similar" in terms of chemical composition and component proportions. As a supplementary approach, using statistical equivalence testing logic and mixed model theory we have developed methodology to define sufficient similarity in dose-response for mixtures of many chemicals containing the same components with different ratios. Dose-response data from a mixture of 11 xenoestrogens and the endogenous hormone, 17β-estradiol are used to illustrate the method.

Original languageEnglish
Pages (from-to)313-333
Number of pages21
JournalJournal of Agricultural, Biological, and Environmental Statistics
Volume13
Issue number3
DOIs
StatePublished - Sep 2008
Externally publishedYes

Keywords

  • Equivalence testing
  • Mixed models
  • Nonlinear models
  • Random coefficient

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