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A cutoff score of 7 has been suggested as a score for differentiating MDD.
Based on sensitivity and specificity analyses and the CART procedure, an FSFI total score of 26.55 was found to be the optimal cutoff score for differentiating women without sexual dysfunction from those with sexual dysfunction.
The data were dichotomized into two broad categories: moderate/severe depression (1) versus mild/minimal depression (0), a decision justified by the fact that in some studies the optimal cut-off score for differentiating between individuals with and without depressive disorder is in the range of ≥21 [ 26, 27].
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To calculate mappability scores for differentiating sites, we averaged mappability for all read positions that overlapped each differentiating site [ 26].
The dichotomization made it possible to use an ROC analysis to empirically establish the cut-off scores for differentiating between the two groups "Health Promotion Willingness present" and "Health Promotion Willingness not present" (see Figure 1).
The WHM variable was measured dichotomously (yes = 1; no = 2) and was used to identify the cut-off scores for differentiating between companies in which Health Promotion Management was and was not present (see Figure 1).
The mean total scores at baseline exceed the optimal cut-off score (0.65) for differentiating children with and without ADHD, as derived by receiver-operating characteristics curve analysis in a multicentre, observational study (Hodgkins P, et al., personal communication).
The AUROC for FIB4 index was superior to those for the other scoring systems for differentiating between advanced and mild fibrosis.
Keppie et al. recently suggested a scoring system for differentiating clinically significant sand accumulations from accumulations that do not cause colic [ 7].
The surrounding positions that have high F-scores are (significant for differentiating the ubiquitylation sites from the non-ubiquitylation sites.
To examine the impact of mappability on measures of relative allelic abundance derived from our simulated data, we used software from the GEM library [ 26] to calculate a mappability score for each differentiating site by averaging the mappability scores of all possible reads that included that site.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com