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When samples were run on different days and the correlation between them assessed, correlation coefficients of 0.936, 0.863, 0.973 and 0.946 were obtained for pro-, active MMP-9, pro- and active MMP-2 bands, respectively (P<0.0001).
Se_verification is calculated as the percentage of subjects for whom the assessed correlation coefficients and their combinations are above preset threshold values when their ECG signals in T1 and T2 are compared: (3) S e _ v e r i f i c a t i o n = 100 ∑ i = 1 N r Q R S i T 2, Q R S i T 1 ≥ C o r r T h r N, where N is the number of tested subjects.
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For correlated data sets, Pearson's rank correlation was used to assess correlation coefficients and significance.
Spearman's rank order correlation was used to assess correlation coefficients between non-parametrically distributed variables.
Comparing median step counts or assessing correlation coefficients over-estimates agreement between pedometer and accelerometer data.
Reliability was assessed using ICC and validity was assessed using correlation coefficients and RMSE.
Validity was assessed using correlation coefficients (r) in participants who received clinical assessments (n = 159).
Collinearity of the covariates was assessed by correlation coefficients.
Convergent and discriminant validity was assessed by correlation coefficients.
The relationship between childhood and adult socio-economic measures was assessed using correlation coefficients.
Additionally, concurrent validity was assessed with correlation coefficients between STS-2 and SCL-90R scores and sub-scores.
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