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This approach serves as a graphical check of the parametric model fit to the data.
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As a check on the validity of the parametric test, we also ran a nonparametric analysis for 2 independent groups (Mann Whitney U) and found the same variables to be significant as on the t-test.
Thus the experiment consisted of two, two-minute-long periods of synchronous brushing, each followed by the presentation of the same questionnaire as used in experiments 1 and 3. A Kolmogorov-Smirnov test was used to check the parametric assumptions of the data in all experiments.
We have used Kolmogorov-Smirnov test to check the parametric assumptions and in cases of violations we have used non-parametric statistical tests, as indicated in the Results section.
Because of the parametric resampling of the link weights, this method formally falls under parametric bootstrapping.
Sensitivity analyses using Kaplan Meier (non-parametric) estimation supported the results of the parametric modelling.
Analysis of variance was performed as a double-check of the p-values in the non-parametric analysis, and each autonomic function test result was reciprocally adjusted for age and gender.
Given that the outcome variable in these analyses (presence and severity of self-reported knee instability) is ordinal, thorough checking of the data were performed to ensure that the assumptions of parametric statistics were met.
Depending on the distribution of the data, parametric or non-parametric tests will be used.
The only continuous variable, "duration of pain" was then checked for the correct parametric form using fractional polynomials [ 16].
The study can also use larger data set applying various other parametric and non-parametric models to check validity of the model, robustness and stability of the parameters.
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