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[A new decision tree method for statistical analysis of quantitative data obtained in toxicity studies on rodents]
K Kobayashi1, M Kanamori, K Ohori
1Biosafety Research Center, Foods, Drugs and Pesticides (An-Pyo Center), Shizuoka, Japan.
Abstract:
Regarding the statistical analysis of the quantitative data obtained in control and dosage groups in toxicity studies, we tried to simplify the decision tree method. In a new decision tree presented in this article, one-way analysis of variance and Kruskal-Wallis nonparametric analysis of variance are excluded from the traditional decision tree: (1) Bartlett's test is used as a test for the equality of k variances: (2) Then, if the k sampled populations have equal variances (p > 0.05 by the Bartlett's test), Dunnett's multiple comparison test is performed: otherwise, Steel's test is used. This new method, which increases the power in some conditions, may serve as an alternative to the traditional decision tree method.