title: [Statistical analysis of pharmacological data: use of cumulative chi-squared statistic].
abstract: The cumulative chi-squared statistic has been proposed for testing against ordered alternatives in various statistical models. As usual statistical tests of ordered column categorical data, the chi 2 test, Fisher's exact test and Wilcoxon test are used. Pharmacological studies often are performed by multiple dosing. Data obtained from these studies are called ordered categorical data. The cumulative chi-squared statistic, which has been proposed by Hirotsu and Shibuya for testing against ordered alternatives in various statistical models, is little used in spite of its good applicability in the field of pharmacology. This method was too difficult for the general pharmacologist and biological scientists because it requires the use of a complex matrix and a powerful computer to carry out the analysis. However since a more simple method was proposed by Matsumoto and Yoshimura this method has been used more frequently in the biological sciences. In this paper, the one way cumulative chi-squared statistic test and two way chi-squared statistic test are compared with the chi-squared statistic test and Wilcoxon test.
authors.affiliation: Toxicological Laboratories, Japan Tobacco Co., LTD, Kanagawa, Japan.
authors.forename: K
authors.initials: K
authors.lastname: Matsumoto
mesh_terms: D003627:Data Interpretation, Statistical; D010600:Pharmacology; D018709:Statistics, Nonparametric