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The case against retrospective statistical power analyses with an introduction to power analysis

机译:追溯统计功效分析的案例,并介绍功效分析

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摘要

Statistical power analysis is an important tool for planning an experiment because this type of analysis allows researchers to identify an appropriate sample size for a particular experimental design. In recent years, it seems many biology journals (see Table 1 in Hoenig and Heisey 2001) have been encouraging researchers to calculate statistical power after their experiments when they have obtained non-significant results (hereafter, termed "retrospective power calculation or analysis" as opposed to "prospective power analysis", which is conducted pre-experimentally).
机译:统计功效分析是用于规划实验的重要工具,因为这种类型的分析使研究人员可以为特定的实验设计确定合适的样本量。近年来,似乎许多生物学杂志(请参阅Hoenig和Heisey 2001中的表1)都鼓励研究人员在获得非显着结果(以下称为“可追溯功效计算或分析”)后,在实验后计算统计功效。与“前瞻性功率分析”相反,后者是在实验前进行的)。

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