The uncertainties of a life-table model for estimation of population health risks caused by local primary traffic particles were investigated in detail using a sensitivity analysis approach.
These parameters in turn are obtained using a sensitivity based optimization approach.
This paper presents the design of a closed-loop micromachined accelerometer using a sensitivity functions shaping approach in order to reach the desired measurement performance.
The effective model is derived from the original OSA approach using a sensitivity analysis, and some of the selective perturbations found with the effective model are also selective perturbations for the original OSA problem.
To account for these factors the process will use a sensitivity analysis approach to consider many possible design cases, this approach involves the creation of a large number of randomly created cases, all with different input values and giving different factors of safety.
In order to find limiting steps we use a sensitivity based approach.
Using a sensitivity- and specificity-based approach [8], thresholds were calculated for change in OHS (ΔOHS) and absolute postoperative OHS using two global transition items for constructing three anchors patient satisfaction, patient-perceived function and a combination of the former two using the most conservative value, i.e., the lowest value.
We evaluated the number and location of AV using a high sensitivity approach consisting of a combination of confocal microscopy and three-dimensional reconstruction imaging software.
Briefly, we calculated the percent median absolute performance error (MAPE%) based on estimates of performance error (PE), used root median square performance error (RMSPE%) to estimate the prediction's accuracy, and used a sensitivity ratio (SR) approach to assess the robustness of each recoded model (Ruiz et al. 2010a).
So, we should currently expect to demonstrate metastases of 1 cm or larger with a sensitivity approaching 100% using SPIO-enhanced MRI, and sensitivity of 90 95% using spiral CT.
