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We computed two concordance measures appropriate for validating a measurement variable (perceived age disparity) against a reference (actual age disparity).
Building on the conditional region-level concordance measures, we have developed a graph-based method for examining potentially "higher-order" spatial relationships between pairs of parcellations (Figure 6 and Text S1).
As data derived from the 30 pilot study samples were used to derive the acceptance criteria of equivalence, these were re-tested in the inter-laboratory comparison study to avoid the risk of over-estimating the concordance measures.
Additionally, Table S1 provides the values of the two global concordance measures evaluated separately for voxels judged to be in the cerebral cortex and for voxels judged to be elsewhere (subcortical nuclei, brainstem, cerebellum).
Concordance measures calculated using the ICD-10 sample only.
Concordance measures are as reliable in Indigenous as non-Indigenous patients.
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Both approaches presented good concordance measured by chi-square test with a concordant rate of 80.6%, a 13.8% false positive rate (FP), and 15.8% false negative rate (P = 0.013) taking break-apart assay as the gold standard.
The concordance method generates a preference ranking which best satisfies a given concordance measure.
MATVs were compared not only in terms of absolute and relative values but also using a concordance measure, which gives a representative geometrical description of changes in MATV, combining both volume and positional differences [16].
Figure S4, SNV concordance measured at varying Illumina read depth threshold values.
This study evaluates these overall measures and introduces the between-ratio difference as a concordance measure pergene.
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