The minimal detectable change (MDC) that is not due to error was calculated for all parametric tests, as 1.96 * √2 * SEM [ 41].
To evaluate the genome-wide level of significance in our samples, empiric P-values were calculated for the parametric MOD scores using the simulation features incorporated in Genehunter MOD and Genehunter-Imprinting.
Sensitivity, specificity, and receiver operating curve (ROC) area under the curve (AUC) values were calculated for multi-parametric MRI.
Normally, statistical tests that compare sampled means take into account the 95% confidence interval calculated for the correspondent parametric mean.
The parameter p was calculated for each pixel, and then parametric p-images were constructed.
Descriptive statistics were calculated for the measures and non-parametric analyses (median scores) were used due to unequal cohort sizes (Mann–Whitney U Test; Kruskal-Wallis Test), and post-hoc testing was undertaken using a Dunn-Bonferroni correction to analyse differences in the demographics (age, year level, gender, and university).
In QSAR analysis, different electronic, topologic, functional groups and physicochemical descriptors were calculated for each molecule and a three parametric equation was found between the log MIC and HOMO energy, hydration energy and number of primary carbon atoms of the molecules.
To test the accuracy of the developed theory, the models of the system were then built with a fine mesh in COMSOL, using the Electrostatics module, and capacitance values were calculated for varying liquid thicknesses by using parametric sweep studies.
Standard errors were calculated for the MLE method using a parametric bootstrap.
Non-parametric bootstrap values were calculated for maximum parsimony with 1,000 bootstrap replicates and maximum likelihood with 500 replicates.
