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平行线测定设计与分析中的统计学考量

Statistical considerations in the design and analysis of parallel line assays.

作者信息

Gaines Das R E

机构信息

National Institute for Biological Standards and Control, Potters Bar, Herts, United Kingdom.

出版信息

Dev Biol (Basel). 2002;107:35-45.

Abstract

Underlying the design of any assay and further, interpretation of the results, are multitudes of assumptions and implications, ranging from 'biological' assumptions about the nature of the assay system and its response to the materials assayed to 'statistical' assumptions about the form of the dose-response relationship and the distribution of the response data. As far as possible, assays should be designed and analysis carried out to assess these assumptions. Implications for the individual assay are discussed, since this is where all studies of assays necessarily begin. Consideration is then extended to implications for the combination of data and results of several assays.

摘要

任何检测方法的设计以及结果的解读背后,都存在着大量的假设和影响因素,从关于检测系统的性质及其对被检测物质的反应的“生物学”假设,到关于剂量反应关系的形式和反应数据分布的“统计学”假设。应尽可能设计检测方法并进行分析,以评估这些假设。文中讨论了对单个检测方法的影响,因为这是所有检测研究必然开始的地方。然后将考虑范围扩展到对多个检测方法的数据和结果组合的影响。

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