title: Quantitative methods for cross-species mapping (CSM).
abstract: Cross-species extrapolation will be defined as prediction from one species to another without empirical vetification. Cross-species mapping (CSM) is the same except empirical vetification is performed. CSM may be viewed as validation of methods for extrapolation. Algorithms for CSM may originate from theory, from empirical observations or a combination of the two. Regardless of their origins, CSM algorithms must be explicated and confidence intervals given around their predictions. This 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.
authors.affiliation: U.S. Environmental Protection Agency, Human Studies Division, Research Triangle Park, NC 27711.
authors.forename: V A
authors.initials: VA
authors.lastname: Benignus
authors.forename: W K
authors.initials: WK
authors.lastname: Boyes
authors.forename: H K
authors.initials: HK
authors.lastname: Hudnell
authors.forename: C M
authors.initials: CM
authors.lastname: Frey
authors.forename: D J
authors.initials: DJ
authors.lastname: Svendsgaard
mesh_terms: D000818:Animals; D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D051381:Rats; D013045:Species Specificity