Journal
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
Volume 13, Issue 3, Pages 313-333Publisher
AMER STATISTICAL ASSOC & INT BIOMETRIC SOC
DOI: 10.1198/108571108X336304
Keywords
equivalence testing; mixed models; nonlinear models; random coefficient
Funding
- National Institute for Environmental Health Sciences
- National Institutes of Health (NIEHS, NIH) [T32 ES007334]
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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, 17 beta-estradiol are used 10 illustrate the method.
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