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An empirical approach to sufficient similarity in dose-responsiveness: Utilization of statistical distance as a similarity measure.
Citation:
Marshall, S., C. Gennings, L. G. Stork, J. Lipscomb, M. J. DEVITO, AND K. M. CROFTON. An empirical approach to sufficient similarity in dose-responsiveness: Utilization of statistical distance as a similarity measure. . Presented at 2008 Joint Statistical Meeting, Denver, CO, August 03 - 07, 2008.
Impact/Purpose:
To support criteria for MYP
Description:
Using statistical equivalence testing logic and mixed model theory an approach has been developed, that extends the work of Stork et al (JABES,2008), to define sufficient similarity in dose-response for chemical mixtures containing the same chemicals with different ratios or a subset of chemicals. The similarity measure is based on statistical distance which is defined as a function of relative potencies of the chemicals. A simulation study was conducted to assess the “power” of the approach. The mixing ratio for exposure to a chemical mixture was assumed to be a random process. The current work estimated how often a resulting candidate mixture was sufficiently similar in dose-responsiveness to the reference mixture. (Partially supported by NIEHS #T32 ES007334. This abstract and does not reflect USEPA policy. This research is not associated with Monsanto.)