However, the simulator performance presented sensitivity to the wind profile, especially when cross wind occurs.
Part 1 presented sensitivity analysis results for wind speed and loss cost while the current paper presents the corresponding uncertainty analysis results.
The here presented sensitivity mapper is a tool which can provide detailed information about the sensitivity distribution for a wide range of configurations.
Furthermore, we presented sensitivity, specificity, positive predictive values and negative predictive values to decide a suitable cut-off score for future self-harm risk detection.
To test robustness, we present sensitivity analyses with varying (r_{f}).
Part 1 presents sensitivity analysis results for wind speed and loss cost, while Part 2 presents the corresponding uncertainty analysis results.
Figure 2 presents sensitivity analyses relating to the copayment rate.
Table 2 presents sensitivity, specificity, and positive and negative predictive values of CURB-65, CURSI, and CURASI calculated for mortality and for mortality and/or ICU admission.
Unfortunately, we were not able to present sensitivity analysis due to a dicotomous, and not a continuous method established in dividing DS into melancholic and non-melancholic DS.
You can't include stuff "to suit our present sensitivities".
Table 4 presents sensitivities, specificities, and negative and positive predictive values at the different cut-offs.
