title: Don't be fooled-A no-observed-effect concentration is no substitute for a poor concentration-response experiment.
abstract: Renowned mathematician and science historian Jacob Bronowski once defined science as "the acceptance of what works and the rejection of what does not" and noted "that needs more courage than we might think." Such would also seem to be the case with no-observed-effect concentrations (NOECs) and no-observed-effect levels in ecotoxicology. Compelling arguments were advanced more than a quarter of a century ago as to why the use of a model to describe the concentration-response relationship was preferable to an isolated metric, with the NOEC singled out as a particularly poor toxicity measure. In the ensuing years numerous articles critical of the NOEC have been written, with some calling for an outright ban on its use. More recently, arguments have been made for the retention of NOECs, with supporters suggesting that this metric is particularly useful in situations where the concentration-response relationship is weak or nonexistent. In addition, it has been claimed that there are situations in ecotoxicology where suitable models are simply not available. These arguments are not correct, and they also have impeded the decades-overdue incorporation of numerous recommendations based on research that NOECs should no longer be used. In the present study the authors counter some of the most recent claims in support of NOECs and provide new insights for 1 class of problem claimed not to be amenable to such modeling. They are confident that similar insights will be developed as further original research in this area is undertaken. Environ Toxicol Chem 2016;35:2141-2148. © 2016 SETAC.
authors.affiliation: Environmetrics Australia, Beaumaris, Victoria, Australia.|University of Melbourne, Parkville, Victoria, Australia.
authors.forename: David R
authors.initials: DR
authors.lastname: Fox
authors.affiliation: Institute of Environmental Toxicology, Huxley College of the Environment, Western Washington University, Bellingham, Washington, USA.
authors.forename: Wayne G
authors.initials: WG
authors.lastname: Landis
mesh_terms: D001499:Bayes Theorem; D004305:Dose-Response Relationship, Drug; D054750:Ecotoxicology / Q000379:methods* / Q000706:statistics & numerical data*; D019055:No-Observed-Adverse-Effect Level; D012044:Regression Analysis; D018675:Toxicity Tests
keywords: Curve fitting; No-effect concentration; Severity score; Toxicity metric