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This is a non-parametric method, which tests equality of population medians among groups.
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Test equality of vectors.
Score statistic and Wald-type statistic are presented to test equality in a stratified bilateral-sample design, and their corresponding sample size formulae are given.
Testing equality of scaling parameters can be interpreted in Gaussian models at least in two different ways.
Comparing mvv-c with pcv-r models led to some new aspects in testing equality of variances or scaling parameters.
The proposed method is defined in section 'Robust estimation of coefficients by testing equality of variations in specified intervals'.
Based on noncentral t-distributions, we derive some sample size calculation formulas for testing equality, testing therapeutic noninferiority/superiority, and testing therapeutic equivalence, under the popular one-sample design, two-sample parallel design, and two-sample crossover design.
The Kruskal-Wallis test was used to test equality of medians among groups.
We compared and tested equality of nucleotide diversity of synonymous and nonsynonymous sites using bootstrapping in MEGA 3.1 [41].
SW to BM linear regression equations were compared using ANOVA to test equality of slopes and intercepts [69].
A Kruskal-Wallis (KW) one- way analysis of variance by ranks tested equality of the measured cell population based on extracellular and intracellular parameters.
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