title: [A new decision tree method for statistical analysis of quantitative data obtained in toxicity studies on rodents].
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.
authors.affiliation: Biosafety Research Center, Foods, Drugs and Pesticides (An-Pyo Center), Shizuoka, Japan.
authors.forename: K
authors.initials: K
authors.lastname: Kobayashi
authors.forename: M
authors.initials: M
authors.lastname: Kanamori
authors.forename: K
authors.initials: K
authors.lastname: Ohori
authors.forename: H
authors.initials: H
authors.lastname: Takeuchi
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D003663:Decision Trees; D012377:Rodentia; D013223:Statistics as Topic; D018675:Toxicity Tests