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首页> 外文期刊>Journal of Medical Entomology >An Entomologist Guide to Demystify Pseudoreplication: Data Analysis of Field Studies With Design Constraints
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An Entomologist Guide to Demystify Pseudoreplication: Data Analysis of Field Studies With Design Constraints

机译：伪造伪复制的昆虫学家指南：带有设计约束的现场研究数据分析

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摘要

Lack of independence, or pseudoreplication, in samples from ecological studies of insects reflects the complexity of working with living organisms: the finite and limited input of individuals, their relatedness (ecological and/or genetic), and the need to group organisms into functional experimental units to estimate population parameters (e.g., cohort replicates). Several decades ago, when the issue of pseudoreplication was first recognized, it was highlighted that mainstream statistical tools were unable to account for the lack of independence. For example, the variability as a result of differences across individuals would be confounded with that of the experimental units where they were observed (e.g., pans for mosquito larvae), whereas both sources of variability now can be separated using modern statistical techniques, such as the linear mixed effects model, that explicitly consider the different scales of variability in a dataset (e.g., mosquitoes and pans). However, the perception of pseudoreplication as a problem without solution remains. This study presents concepts to critically appraise pseudoreplication and the linear mixed effects model as a statistical solution for analyzing data with pseudoreplication, by separating the different sources of variability and thereby generating correct inferences from data gathered in studies with constraints in randomization.
机译：昆虫生态学研究的样本缺乏独立性或假复制，反映了与活生物体合作的复杂性：个体的有限和有限输入，其相关性（生态和/或遗传）以及将生物体归类为功能性实验的需求估计种群参数的单位（例如同类群组）。几十年前，当第一次认识到伪复制问题时，就强调了主流统计工具无法解决缺乏独立性的问题。例如，由于个体差异而导致的变异性会与观察它们的实验单位（例如，蚊子幼虫的锅）混淆，而现在可以使用现代统计技术（例如，线性混合效应模型，该模型明确考虑了数据集中不同程度的可变性（例如，蚊子和锅）。但是，伪复制仍然是没有解决方案的问题。这项研究提出了一些概念，通过分离不同的可变性来源，从而从具有随机约束的研究中收集的数据中得出正确的推论，从而对伪复制和线性混合效应模型进行严格评估，以此作为分析伪复制数据的统计解决方案。

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