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Extrapolating ecotoxicological measures from small data sets

机译:从小数据集推断生态毒理学措施

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Risk screening is commonly conducted using multiple-species ecotoxicological measures such as the HC_5, the hazardous concentration at which 5% of species in a specified (eco-)system are assumed to be stressed. This article demonstrates that the estimate of HC_5 will not vary significantly among commonly adopted parametric models of species sensitivity distributions. Uncertainty is highly dependent on the number of species tested (sample size) and the relevance of the measurement to the assessment endpoint (e.g., acute measures for assessing chronic endpoints). This article cross-compares estimates of these uncertainties using different empirical and theoretical methods to propose sample to population extrapolation factors. Some theoretical parametric methods for estimating the confidence intervals on the HC_5 can result in large overconservatism, particularly if positive bias reduces uncertainty. The 95th percentile confidence interval on the HC_5 estimate given only three chronic test results varies from 5 to 8 x 10~8, depending on the estimation method adopted.
机译:通常使用多种物种的生态毒理学措施(例如HC_5)进行风险筛查,HC_5被认为是强调特定(生态)系统中5%物种的危险浓度。本文证明,在通常采用的物种敏感度分布参数模型中,HC_5的估计值不会显着变化。不确定性高度取决于所测试物种的数量(样本大小)以及测量与评估终点的相关性(例如,用于评估慢性终点的急性测量)。本文使用不同的经验和理论方法对这些不确定性的估计值进行交叉比较,以提出样本到人口外推因子。某些用于估计HC_5的置信区间的理论参数方法会导致较大的保守性,特别是如果正偏差减少不确定性的话。在仅给出三个长期测试结果的情况下,HC_5估计值的第95个百分位数置信区间在5到8 x 10〜8之间,这取决于所采用的估计方法。

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