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RECORD NUMBER: 33 OF 37

OLS Field Name OLS Field Data
Main Title Quantitative Methods for Cross-Species Mapping (CSM).
Author Benignus, V. A. ; Boyes, W. K. ; Hudnell, H. K. ; Frey, C. M. ; Svendsgaard, D. J. ;
CORP Author Health Effects Research Lab., Research Triangle Park, NC. ;North Carolina Univ. at Chapel Hill.
Publisher c1991
Year Published 1991
Report Number EPA/600/J-91/125;
Stock Number PB91-211482
Additional Subjects Species specificity ; Mathematical models ; Animals ; Humans ; Risk assessment ; Reprints ; Cross-species mapping
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NTIS  PB91-211482 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 11/26/1991
Collation 9p
Abstract
Cross species extrapolation will be defined as prediction from one species to another without empirical verification. Cross species mapping (CSM) is the same except empirical verification is performed. CSM may be viewed as validation of methods for extrapolation. The paper offers a quantitative method for constructing CSM equations which is useful in evaluation of the CSM and as an aid in the design of new experiments in CSM and extrapolation. The method requires fitting mathematical models for the physiological or behavioral phenomena to be mapped across species. A CSM equation can then be derived from the models in each species and approximate confidence limits may be obtained for predictions from the equation. The method is useful even when the models in the two species differ in form, implying differences in physiology or behavioral principles between species. The method proposed has a number of remaining uncertainties and possible problems.