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The curves indicate proportion of discrepancy (right scale) with respect to Murray for each one of his bands.
Furthermore, the sample of 52 trials might have been too small to identify factors associated with a higher proportion of discrepancy in eligibility criteria.
Had there been a total diagnostic coincidence between Murray and the survey, the figure should contain three blocks but with one column each, its histograms should look like totally coincident pairs of bars and the proportion of discrepancy curve should be a flat one at the bottom of the graphs.
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The discrepancy level between fibrosis class classifications of non-invasive tests and Metavir stages was reflected by the discrepancy score and the proportion of significant discrepancy (≥ 2 FM), which markedly varied among tests in the present study.
For the cases considered as moderate by Murray, the main cause of overestimation of injury in the survey was the assignment of greater importance to low values of PaO2/FiO2 and high values of consolidations, as can be seen in the first column of the block if we search for the region towards which the proportion of the discrepancy curve climbs.
As might be expected, the distribution of types of updates is different between the two discrepancy classes, with most 'shallow' discrepancies leading to annotation refinement while a larger proportion of 'mismatch' discrepancies indicating incorrect or missing annotations.
At the time I could only say to my students that I did not understand this discrepancy between proportion mediated and proportion of variance explained, but that I would try to find out.
Details on discrepancy grade are shown in Figure 2. In addition, the proportion of significant discrepancies with FibroMeter2G or FibroMeter3G was significantly lower than with Fibrotest (p < 10-3 by McNemar test, Table 3).
Details on discrepancy grade are shown in Figure 2. The proportions of significant discrepancies were also significantly different among fibrosis tests (p < 10-3 by Cochran test in each population, Table 3).
Based on these two experiments, we conclude that the MSA programs tested are capable of accurately aligning the reliable sequences, even in the presence of a large proportion of sequences with discrepancies.
As seen in figure 5 samples S10 and S11, the significant proportion of these larger discrepancies come from the non-articular surfaces.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com