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In order to verify the validity of the models, the sensitivity analysis is conducted and discussed.
As a measure for the appropriateness of the models, the sensitivity, specificity, balanced accuracy, and P-value are reported for all models when applied to the whole dataset.
With both models, the sensitivity analysis did not converge exactly to the same solution; however, only three women at the most changed groups without noticeable changes in the log-likelihood values.
In diabetes models, the sensitivity to PAR2-mediated relaxation was increased in aortae from type 1 non-obese diabetic (NOD) mice (Roviezzo et al., 2005) and in mesenteric arteries from type 2 non-obese diabetic rats (Goto-Kakizaki) (Matsumoto et al., 2009).
Except in Chicago, Model 4 had the largest magnitude of bias. Figure 9 compares the receiver operator characteristic (ROC) curves for the four models across the five EDs using the linear filter (Across all models, the sensitivity for the 1-day filter was the lowest while the 7-day and linear filters tended to have the highest sensitivity).
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From the visual model, the sensitivity can be easily worked out: (13).
With the well validated ATLAS model, the sensitivity analysis of the system heat loss on the SBO transient is performed.
With this implicit model, the sensitivity of steady states to parameters can be investigated efficiently using continuation methods.
With these variables in the predictive model the sensitivity of the derived rule for predicting failure was 77%, the specificity was 65%, and the overall accuracy was 69%.
In the regression model, the sensitivity and specificity were treated as independent variables.
When compared with the Functional Domains model, the sensitivity of the FI was 38%, and its specificity was 91.5% [ 20].
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models the annealing
models the teacher
models the time-domain
models the technology
models the device
models the reddit
models the gap
models the side
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