For example, a single non-FMV spot sample would correctly identify only 52% of the children whose true weekly exposure was in the top quintile, suggesting high type 2 classification errors; by contrast, spot samples appear to offer good specificity, with a single non-FMV spot sample correctly identifying about 88% of children with true total DAP exposure below the top quintile.
In the presence of adenine, projection of the SHAPE-directed sampling correctly identified the on-conformation; without the ligand, only off-conformations were visualized.
The diagnostic specificity of cytology and the KOC RT PCR assay was determined as the frequency of samples correctly identified as benign/negative by each examination among the number of correctly identified negative cases plus the number of false-positive cases.
The diagnostic sensitivity of cytology and the KOC RT PCR assay was determined as the frequency of samples correctly identified as malignant/positive by each examination among the number of correctly identified positive cases plus the number of false-negative cases.
Thus, the sensitivity (or the true positive rate) of the tests is the proportion of cancer samples correctly identified by the dog while the specificity (or the true negative rate) is the proportion of control samples negatively indicated by the dog.
Out of 36 samples, 33 samples were correctly identified (91%).
Applying an SCI cut-off ≤16, 89% of the sample was correctly identified as having 'probable insomnia disorder' (ISI scores of ≥15), while an SCI score of >16 correctly identified 82% of those with 'no insomnia disorder'.
One study [ 26] reported a LCMM patient missed by Freelite; however the sample was correctly identified when reanalysed using the same batch of reagent, indicating a previous analytical error (personal communication).
For the avian influenza samples, 3 out of 4 H5N1 samples and 2 out of 2 H7N9 avian samples were correctly identified.
Although the prediction score distributions differed, there was still a clear separation between tumour and normal FFPE samples and using the optimal FFPE cut-point all tumour samples were correctly identified and only 1 of the 22 normal samples was misclassified.
