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As in the case of sensitivity, the phenomena of desire do not, without further qualification, indicate the realm of mind.
The results of computational analysis are compared against the results of the central finite difference approach in the case of sensitivity gradients determination as well as the direct Monte-Carlo simulation approach.
In the case of sensitivity analyses, Hamby [54] reviews alternative approaches.
However, the differences are not as pronounced as in the case of sensitivity and the results are similar for different images.
In the case of sensitivity analyses, a comparison among each deviated configuration and the reference can be performed and the result can eventually be represented in percentage of variation.
Through the sensitivity analysis, we create the variables C1΄΄, C2΄΄ and C3΄΄ (i.e. the difference between the basic scenario and the case of sensitivity analysis), which arise as values of C1, C2 and C3 for group 1 and C1΄, C2΄ and C3΄ for group 2, respectively.
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Unfortunately, the de facto methods overestimate the resolving capabilities of the system in the case of sensitivity-limited analytes.
It is necessary, in the case of longitudinal sensitivity to avoid floor and ceiling effects, but quite the reverse occurs for a scale designed for cross-sectional sensitivity.
It can also be observed in the case of precision, sensitivity, specificity, and MCC.
In the case of low sensitivity and specificity, the false positives and false negatives may counterbalance, and may not affect the verbal autopsy accuracy [ 2, 9].
Nevertheless, the low cut-off values in A-TAC did not compromise specificity overall, except in the case of LDs (sensitivity 78% and specificity 64%).
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