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Due to the limited sample size, no adjustment for simultaneous testing of multiple variables was performed.
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Fisher's exact test univariant analysis of multiple variables was used to identify pretreatment patient characteristics associated with achieving a CR or overall response to therapy.
The mean values of LV d P/d tmax, calculated over a period of 10 respiratory cycles at each pacing configuration, were compared, using the Student-Newman-Keuls test for comparison of multiple variables.
Structural equation modeling (SEM): As a powerful extension of multiple regression analyses, SEM goes beyond bivariate correlations, to allow simultaneous tests of the contribution of multiple variables (numerical and categorical), both direct and indirect, and to establish their individual predictive ability over one or more dependent variables.
There is also the question of whether adjustments for multiple testing are required when performing the KS test on multiple variables with incomplete data.
The statistical significance of differences between experimental groups was determined using the ANOVA test of variance in cases of multiple variables as well as the unpaired two-tailed sample t-test (using Prisma 5 program, Prism - Graphpad, La Jolla, CA, USA).
For comparison in correlation of multiple variables, we used Friedman test and applied Bonferroni's method for Post hoc analysis.
Statistical evaluation of multiple variables was performed.
As several variables were related, tests for multiple variables such as that of the Bonferroni Holm procedure were not applied to the data presented.
The incidence of side-effects such as pruritus was compared using the Chi squared test for multiple variables.
Alpha levels are not adjusted for testing of multiple dependent variables.
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