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In order to reduce computing time, some GSA-GWA studies use a parametric test.
If we decide to approximate clinical measurements by a normal curve, we are deciding to use a parametric test.
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Due to the small amount of patients, we also used a-parametric tests (Mann-Whitney U).
Since all assumptions must hold, only hypothesis ({H_{0}^{3}}) was evaluated by using a parametric test.
Surgical time was calculated from incision until skin suture and confront was done using a parametric test for paired data (Student's t test).
The distribution of all the obtained data was Gaussian, thus it was analyzed using a parametric test (two-way ANOVA with Tukey's post-test).
Difference in the concentration of soluble molecules in the supernatants was performed using a parametric test.
Therefore, we used a parametric test.
The analysis has to be done using a non-parametric test or by some mathematical transformation of the data to normalize it before using a parametric test.
We tested the significance of the change in scores between pre- and post-dialogue using a parametric test (paired t-test) and used a non-parametric test (signed rank) to assess the robustness of the results.
Of note, all data represented in the manuscript that were significant using a parametric test, were similarly significant using the one-tailed Mann Whitney test.
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