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TO NORMALIZE OR NOT TO NORMALIZE? FAT IS THE QUESTION

机译:要归一化还是不归一化?脂肪是问题

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Concentrations of lipophilic contaminants in biota are frequently corrected for variation in tissue lipid content. Usually, this correction is accomplished by dividing tissue contaminant concentration by lipid concentration to form lipid-normalized data. This ratio-based approach is satisfactory when contaminant concentration varies in direct proportion to lipid content. However, when such a relationship does not exist, erroneous conclusions may be reached. Recent research has emphasized the potential shortcomings of the use of ratio variables. We demonstrate the importance of considering these shortcomings when lipid-normalizing data. Three examples are presented, and an alternative approach based upon the use of analysis of covari-ance (ANCOVA) is suggested.
机译:经常校正生物区中亲脂性污染物的浓度,以适应组织脂质含量的变化。通常,通过将组织污染物浓度除以脂质浓度以形成脂质归一化数据来完成此校正。当污染物浓度与脂质含量成正比变化时,这种基于比率的方法是令人满意的。但是,当不存在这种关系时,可能会得出错误的结论。最近的研究强调了使用比例变量的潜在缺点。我们证明了脂质归一化数据时考虑这些缺点的重要性。给出了三个示例,并提出了一种基于协方差分析(ANCOVA)的替代方法。

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