Data-Driven Method to Estimate Nonlinear Chemical Equivalence.

ABSTRACT: There is great need to express the impacts of chemicals found in the environment in terms of effects from alternative chemicals of interest. Methods currently employed in fields such as life-cycle assessment, risk assessment, mixtures toxicology, and pharmacology rely mostly on heuristic arguments to justify the use of linear relationships in the construction of "equivalency factors," which aim to model these concentration-concentration correlations. However, the use of linear models, even at low concentrations, oversimplifies the nonlinear nature of the concentration-response curve, therefore introducing error into calculations involving these factors. We address this problem by reporting a method to determine a concentration-concentration relationship between two chemicals based on the f

SUBMITTER: Mayo M 

PROVIDER: S-EPMC4497723 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature