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The TD (texture depth) was measured by handle sand patch, the significant analysis, multiple comparison and regression analysis were used to analyze the experimental data.
In this paper, we present a multi-comparable visual analytic approach for complex hierarchical data and a visual analytics system (McVA) to support multiple comparison and evaluation of MRL standard.
Data did not fulfil the requirements of parametric tests and were then analyzed by means of Kruskal-Wallis tests, Dunn's multiple comparison, and Bartlett test (with the corresponding alpha level adjustment).
Secondary endpoints were analyzed by Dunnett's multiple comparison and the Chi-square test.
Results were analyzed using the Kruskal-Wallis test, Dunn's Multiple Comparison and the Mann–Whitney test.
Statistical analysis was performed by Kuruskal wallis, U-Mann Whitney, multiple comparison and regression correlation coefficient tests, using SPSS 10.05.
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The P values were not adjusted for multiple comparisons and, therefore, were only descriptive.
The images are thresholded at p < 0.05 corrected for multiple comparisons and overlaid on the standard MNI_152 brain.
We use the Bonferroni correction [43] to account for the multiple comparisons and size effects in the data.
We empirically demonstrate that our approach circumvents the issues associated with multiple comparisons and individual variability while improving the statistics.
The effective dosage rates, based on the strength parameters, have been evaluated primarily by multiple comparisons and Cohen׳s d.
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