Both parametric (χ- and t-test) and nonparametric (Wilcoxon test and Mann Whitney test) tests were used to evaluate any differences between the parameters examined; only ' P-values' of parametric tests were reported, as the results of the two types of tests were similar.
There are two implications for methodologic research on the relative value of parametric and non-parametric techniques.
Therefore, the results should be interpreted with caution, and more studies are warranted to establish the value of parametric PTI as a viability marker.
This analysis illustrates the value of parametric models in survival analysis in cases where a suitable distribution can be found to be close enough to the underlying distribution of the data.
His tutorial also emphasizes the value of parametric time-to-event models that allow for the incorporation of time-varying predictors, such as changes in drug or biomarker concentration, which are rarely made in traditional statistical analysis of time-to-event data.
Finally, the robustness of the process along the Pareto optimal front, i.e. the ability of the process to accommodate variations in the associated set of optimal decision variables (DVs), was assessed by Monte Carlo simulations, in which the values of the parametric uncertainties were randomly generated from a multivariate normal distribution.
The differences between the two groups in the mean values of the parametric data were examined using the independent samples Student t-test.
Data from these studies were used to quantitatively estimate by ablation group (but not by case within each ablation group) the extent of specific cell killing during the initial phase of the ablation, which divided ablation groups on the basis of ratio instead of nominal scale values for parametric statistical analyses.
Lastly, because the p-value of a parametric analysis is derived from a distributional assumption, non-parametric methods like bootstrapping may offer better alternatives when distributional concerns arise (e.g., the data do not appear distributed normally or with constant variance).
Furthermore, the table contains p-values of both parametric paired t-tests, and nonparametric Wilcoxon signed-ranked tests.
