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NOEC and LOEC as merely concessive expedients: Two unambiguous alternatives and some criteria to maximize the efficiency of dose-response experimental designs

机译:NOEC和LOEC只是让步的权宜之计:两种明确的替代方案和一些准则,可最大程度地提高剂量响应实验设计的效率

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摘要

NOEC and LOEC (no and lowest observed effect concentrations, respectively) are toxicological concepts derived from analysis of variance (ANOVA), a not very sensitive method that produces ambiguous results and does not provide confidence intervals (Cl) of its estimates. For a long time, despite the abundant criticism that such concepts have raised, the field of the ecotoxicology is reticent to abandon them (two possible reasons will be discussed), adducing the difficulty of clear alternatives. However, this work proves that a debugged dose-response (DR) modeling, through explicit algebraic equations, enables two simple options to accurately calculate the Cl of substantially lower doses than NOEC. Both ANOVA and DR analyses are affected by the experimental error, response profile, number of observations and experimental design. The study of these effects - analytically complex and experimentally unfeasible - was carried out using systematic simulations with realistic data, including different error levels. Results revealed the weakness of NOEC and LOEC notions, confirmed the feasibility of the proposed alternatives and allowed to discuss the - often violated - conditions that minimize the Cl of the parametric estimates from DR assays. In addition, a table was developed providing the experimental design that minimizes the parametric Cl for a given set of working conditions. This makes possible to reduce the experimental effort and to avoid the inconclusive results that are frequently obtained from intuitive experimental plans.
机译:NOEC和LOEC(分别是未观察到的效应浓度和最低观察到的效应浓度)是衍生自方差分析(ANOVA)的毒理学概念,方差分析是一种不太敏感的方法,会产生歧义的结果,并且不提供估计值的置信区间(Cl)。长期以来,尽管人们对此类概念提出了广泛的批评,但生态毒理学领域却不愿放弃它们(将讨论两个可能的原因),从而增加了明确替代方案的难度。然而,这项工作证明,通过显式代数方程式的调试剂量响应(DR)建模,使两个简单的选择可以准确计算比NOEC剂量低得多的Cl。方差分析和DR分析均受实验误差,响应曲线,观察数和实验设计的影响。这些影响的研究(分析上复杂且实验上不可行)是使用具有真实数据(包括不同误差水平)的系统模拟进行的。结果揭示了NOEC和LOEC概念的弱点,证实了所提议替代方法的可行性,并允许讨论(通常是违反的)使DR分析的参数估计值的Cl最小化的条件。此外,还开发了一个表格,提供了针对给定工作条件下使参数Cl最小化的实验设计。这样可以减少实验工作并避免从直观的实验计划中经常获得不确定的结果。

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