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The concordance of the prediction model and the original PROCAM score was quantified via the Spearman's rank correlation coefficient.
The significance of the Fourier score was quantified by comparing the Fourier score of the original signal with scores of large collection of random signals.
Having noted that in both control and SIL cartilage there was marked proteoglycan loss during time in culture the MMS minus the proteoglycan score was quantified.
A positive outcome in terms of change in SCIM score was quantified as either a small clinical improvement (>4.5 points) or a substantial improvement (>10.0 points) [ 9].
Using this regression factor score, multivariate linear regression analysis was performed and the effect of independent variables on the regression factor score was quantified.
The discriminative power of the propensity score was quantified by the c statistic corresponding to the area under the receiver operating characteristic (ROC) curve.
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Multiple genes representing each score were quantified by qRT-PCR.
The relationship between socio-demographic variables and satisfaction factor score is quantified in table 1 below.
The score is quantified using the deficit of substitutions compared with a neutral site.
If the CAAC score is quantified, then the associated risk factors may be more precisely documented, and the relationship between CAAC scores and FGF23 levels should be defined.
The relationship between functional measures and CT scores was quantified by Spearman's rank correlation (rS).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com