We used sensitivity analyses to assess whether our results were sensitive to discount rate, staff time use, equipment prices, and overhead at HAI and the health facilities.
However, when less sensitive signal based assays such as HC2 were used, sensitivity of self-sampling was lower, and often also specificity was lower.
They also used sensitivity analysis to verify the robustness of certain parameters of their proposed model.
Hou et al. (2013) have used sensitivity coefficients to predict climatic variation.
To provide a quantitative measure for checking our test results, two binary statistical measures are used: sensitivity and specificity.
Recently, Broeke et al. (2016) used sensitivity analysis as the technique to study the behavior of agent-based models.
In the formulation used, sensitivity analysis coupled with a linear training algorithm for each of the two layers is employed which ensures that the learning curve stabilizes soon and behaves homogenously throughout the entire process operation.
We used sensitivity analysis and simple stoichiometric calculation to obtain optimum set points for the controlled variables, which has a direct effect on the energy usage and production rate in the WSA process.
The usefulness of Artificial Color for various scene segmentation tasks has been shown in several recent papers, but those demonstrations all used sensitivity curves not optimized for the particular task, i.e. the R, G, B filters of commercial color cameras.
Global sensitivity analysis quantifies the importance of each input parameter, which can lead to insight into the model and reduced computational cost; commonly used sensitivity metrics include Sobol' total sensitivity indices and derivative-based global sensitivity measures.
She noted that the school district has always used sensitivity and compassion to teach students about the Holocaust and will continue to do so.
