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Spearman's rank correlation assesses how well the relationship between two variables can be described using a monotonic function.
The Pearson coefficient of correlation assesses the closeness of data to the line of best fit, modified by taking into account the distance of this line from the 45-degree line through the origin 8 9 10 11 12 13.
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The test-retest correlation assessed with the intraclass correlation coefficient was 0.78.
The test-retest correlation assessed with the intraclass correlation coefficient, over a 1-2 weeks interval, was 0.78.
The test-retest correlation assessed with the intraclass correlation coefficient was 0.97 (Factor 1 = 0.96 and Factor 2 = 0.95).
Many of the correlations assessed did not reach statistical significance.
Pearson's product moment correlations assessed associations among performance metrics and PSWQ scores.
Correlations assessed associations between subtype diagnoses and diagnostic criteria.
Partial correlations assessed their unique contribution, and, last, two-group discriminant analysis provided a classification table.
Partial correlations assessed their unique contribution, and two-group discriminant analysis provided a classification table [ 8].
Spearman rank correlations assessed relationships of VWF Ag levels with patient age, PK and annualized bleeding rate.
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