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Activity Number:
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180
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 4, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Risk Analysis
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| Abstract - #301718 |
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Title:
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Empirical Evaluation of Sufficient Similarity in Dose-Response for Environmental Risk Assessment of a Mixture of 11 Pyrethroids
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Author(s):
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LeAnna G. Stork*+ and Chris Gennings and Scott Marshall and Mike DeVito and Kevin M. Crofton
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Companies:
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Monsanto Company and Virginia Commonwealth University and Virginia Commonwealth University and U.S. Environmental Protection Agency and U.S. Environmental Protection Agency
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Address:
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Mail Zone O3A, St. Louis, MO, 63167,
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Keywords:
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Equivalence testing ; Mixed models ; Nonlinear models ; Random coefficient
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Abstract:
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Chemical mixtures in the environment are often the result of a dynamic process. When dose-response data are available on random samples throughout the process, equivalence testing can be used to determine whether the mixtures are sufficiently similar based on a prespecified biologically important similarity region. Consider the case where dose-response data are available only for a reference mixture from the dynamic process. Following the logic of Stork et al (JABES,2008), it is useful to determine how much additional random variation associated with unobserved candidate mixtures from the dynamic process can be added such that the candidate mixtures are sufficiently similar in dose-response to the reference mixture, based on the similarity region. An example is given for a mixture of pyrethroids. This research is not associated with Monsanto. This abstract does not reflect EPA policy.
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