Sentence examples for false sensitivity from inspiring English sources

The phrase "false sensitivity" is correct and can be used in written English.
It refers to a feigned or insincere display of sensitivity or empathy. Example: The politician's tears during his speech seemed like nothing more than false sensitivity, as he had shown little concern for the issue before.

Exact(2)

The optimum cut-off value was chosen as the value corresponding with the highest accuracy (minimal false sensitivity and false positive results) for single variables, and various cut-off values were investigated for the model to determine the optimal cut-off values for predicting or excluding EV.

Yet we remain unable to explain the high rate of very major and minor errors by MicroScan system Speculating other probable reasons; high false sensitivity of A. baumannii to imipenem might be due to a higher-than-expected or inconsistent concentration of imipenem used in the system, which remains to be further illuminated by the manufacturer.

Similar(58)

The LR is the ratio of true and false positives (sensitivity and 1-specificity respectively), where higher values reflect the probability of a better performance.

Table 4 shows a summary of the true and false calls, sensitivity and specificity of each amplification technique compared to the QPCR results.

The metrics considered to address the performance are the probability of detection and false alarm (sensitivity and specificity) of PCA-ICA and PCA itself.

In lieu of a true gold standard, a quantitative comparison is difficult and caution should be taken when interpreting the true positives, false positives, sensitivity and specificity.

The likelihood ratio is the ratio of true and false positives (sensitivity and 1-specificity respectively), where the higher values reflect the probability of a better performance.

Table 5 presents a summary of the true and false calls, sensitivity and specificity of each method for the 739 most highly expressed genes using unamplified RNA as the gold standard.

Candidate biomarkers often lack diagnostic utility because of poor sensitivity (false negatives) and/or inadequate specificity (false positives) derived from confounding exposures, nonspecific biomarkers or individual variability.

In order to maximize the scientific benefit of such a large, heterogeneous dataset, careful characterization of the statistical properties of the catalog, i.e., completeness, sensitivity, false source rate, and accuracy of source properties, is required.

Specific detection of a simulating biothreat agent (e.g. Bacillus atrophaeus) by immuno-magnetic or PCR assays did not display any significant loss of sensitivity, false negative or positive results in the presence of SRBM.

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