Exact(3)
Therefore, our findings model the sensitivities seen in migraineurs.
When using a bivariate generalized linear mixed model to jointly model the sensitivities and specificities, different monotone link functions can be implemented, such as logit, probit, and complementary log-log transformations [ 19].
By use of a random-effects meta-analysis model, the sensitivities of MAT, the lateral flow test, and IFA were estimated to be 70.3% (95% CrI, 44.1%–91.5%), 89.7% (95% CrI, 80.3%–97.2%), and 71.2% (95% CrI, 52.4%–89.8%), respectively, for patients with leptospirosis who had a convalescent-phase sample.
Similar(57)
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%.
From the visual model, the sensitivity can be easily worked out: (13).
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].
With this model the sensitivity of goodness-of-fit with respect to a variation of the categorical boundary was tested.
For other analyses using the above mixed model the sensitivity analysis will include a worst case analysis following the same technique as previously published [ 45].
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