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首页> 外文期刊>The Royal Society Proceedings B: Biological Sciences >Farm Scale Evaluations of spring-sown genetically modified herbicide-tolerant crops: a statistical assessment
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Farm Scale Evaluations of spring-sown genetically modified herbicide-tolerant crops: a statistical assessment

机译:春季播种的耐除草剂转基因作物的农场规模评估:统计评估

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Primary results from the Farm Scale Evaluations (FSEs) of spring-sown genetically modified herbicide-tolerant crops were published in 2003. We provide a statistical assessment of the results for count data, addressing issues of sample size (n), efficiency, power, statistical significance, variability and model selection. Treatment effects were consistent between rare and abundant species. Coefficients of variation averaged 73% but varied widely. High variability in vegetation indicators was usually offset by large n and treatment effects, whilst invertebrate indicators often had smaller n and lower variability; overall, achieved power was broadly consistent across indicators. Inferences about treatment effects were robust to model misspecification, justifying the statistical model adopted. As expected, increases in n would improve detectability of effects whilst, for example, halving n would have resulted in a loss of significant results of about the same order. 40% of the 531 published analyses had greater than 80% power to detect a 1.5-fold effect; reducing n by one-third would most likely halve the number of analyses meeting this criterion. Overall, the data collected vindicated the initial statistical power analysis and the planned replication. The FSEs provide a valuable database of variability and estimates of power under various sample size scenarios to aid planning of more efficient future studies.
机译:春季播种的抗除草剂转基因作物的农场规模评估(FSE)的主要结果发表于2003年。我们对结果进行统计评估,以解决样本量(n),效率,功效,统计意义,变异性和模型选择。稀有和丰富物种之间的处理效果是一致的。变异系数平均为73%,但差异很大。植被指标的高变异性通常被较大的n和处理效应所抵消,而无脊椎动物指标通常具有较小的n和较低的变异性。总体而言,各个指标的实现能力在很大程度上是一致的。关于治疗效果的推论对于模型错误指定是有力的,证明了采用的统计模型是合理的。如预期的那样,n的增加将改善效果​​的可检测性,而例如,将n减半将导致大约相同数量级的显着结果损失。在531种已发表的分析中,有40%的能量具有大于1.5%功效的80%检测能力。将n减少三分之一将最有可能使符合此标准的分析数量减半。总体而言,收集的数据证明了最初的统计功效分析和计划的复制。 FSE提供了一个有价值的可变性数据库,并提供了各种样本量情况下的功效估计值,以帮助规划更有效的未来研究。

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