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The two-step approach-a significant ANOVA F-test before Dunnett's comparisons against a control-is not recommended

机译:不建议采用两步法-在Dunnett与对照进行比较之前进行显着的ANOVA F检验-

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摘要

Decision-tree approaches are commonly used in the analysis of toxicological assays. This paper considers the widely-used and recommended approach of first applying the ANOVA F-test and, if it is significant, using the many-to-one comparison procedure of Dunnett (1955). Data configurations are provided for which the F-test is not significant, but the Dunnett-test is significant. Because a conditional F-test before the Dunnett-test may increase the false negative rate, it is recommended that the ANOVA F-test not be used at all as a global pre-test. In addition, related non-parametric tests are investigated.
机译:决策树方法通常用于毒理学分析。本文考虑了首先应用ANOVA F检验的广泛使用和推荐的方法,如果有意义,则使用Dunnett(1955)的多对一比较程序。提供的数据配置中F检验不重要,但Dunnett检验很重要。由于在Dunnett检验之前进行条件F检验可能会增加假阴性率,因此建议完全不要将ANOVA F检验用作全局预检验。此外,还研究了相关的非参数测试。

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