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The point is that only some healthy controls are free from disease and many have the same amount of disease as the diseased cases.
Intuitively, a population with higher prevalence may have more diseased cases with clear disease symptoms, leading to increased sensitivity.
The AT transients are quite similar across the healthy and diseased cases, which is inconsistent with disease classification.
They also help to generate reference maps for normal and diseased cases.
All diseased cases had a clinical diagnosis while control cases showed no clinical signs of dementia.
The stiffness estimated using a literature P V relationship differentiated healthy and diseased cases, see Fig. 6.
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So, based on our data, an AUROC of.981 for cocaine dependence implies that there is 98.1% likelihood that a randomly selected diseased case will receive a more suspicious (higher) rating than a randomly selected nondiseased case.
In the respective CT slices of the DF channel (Fig. 2 g, j for control, h, k for emphysema) the strong difference in signal allows for clear discernibility between control and diseased case, as visible by the overall reduced brightness and decreased homogeneity in the diseased lungs compared to the healthy lung.
The latter one was used by the original validation study by Kellogg et al. 14 The AUROC curve is commonly used as a summary measure of diagnostic accuracy and it can be interpreted as the probability that a randomly selected diseased case will be regarded with greater suspicion (in terms of its rating or continuous measurement) than a randomly selected nondiseased case.
Comparing the scenario with all three tests to the C-ELISA verses the I-ELISA there are no relevant differences, but when either of these two tests are evaluated alone against the CHEKIT ELISA the estimates seem to shift towards something that indicates a changed perception of what constitutes a "diseased" case.
In our case the input data are coming from proteomics experiments and the predicted outcomes are diseased and non-diseased cases (DR or Non-DR).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com