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Finally, we assessed discriminant validity by testing the square root of each construct's AVE values (Hair et al. 2014).
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We are confident in our patients that the arterial signal was of an optimal characteristic, as tested by the square wave test.
The significance of differences between proportions was tested by the Chi square test.
Baseline characteristics were tested by the chi-square test or the Student's t-test.
Statistical significance of continuous measures was tested by two-tailed student t-test, and categorical data were tested by the chi-square test where appropriate.
Categorical variables were tested by the chi-square test or Fisher's exact test.
Statistical significance was tested by the chi-square test and student's t-test.
Significant differences were tested by the chi-square test, and Fisher's exact test was used when numbers were too small to perform the chi-square test.
Pairwise means were post-hoc tested by the least squares means test with the Tukey Kramer test.
We tested the differences by ANOVA and chi-square tests.
The difference of nodes distribution between SLM and 1-3 positive nodes was tested by the chi-square test or Fisher's exact probability test.
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