Sentence examples for between two continuous measures from inspiring English sources

Bland and Altman (1986) describe appropriate methods to assess agreement between two continuous measures and highlight the inadequacy of the Pearson's correlation coefficient when used for this purpose.

The similarity between two continuous curves is measured as the shortest path in parameter space in order to map one curve to the other.

The association between two continuous variables was measured by the Spearman ranks correlation coefficient.

The relationship between two continuous variables was determined by measuring the Pearson's correlation coefficient.

Specific ad hoc measures were proposed for K = 2 and cannot be easily generalized for K > 2. Redundancy of a set of variables S is commonly measured only as a sum of contributions of individual variables (3) R e d S = 1 S 2 ∑ k, l ∈ S R 2 X k, X l, where R2 is a specified measure of similarity (suitable for measuring association between two continuous variables).

To assess the level of agreement between the reported quantities and costs of health care use, we used Lin's concordance correlation coefficient (ρc) which measures agreement between two continuous variables taking into account systematic bias [ 28].

Pearson's r measures the association between two continuous variables.

The Pearson product-moment correlation coefficient (Pearson's r) measures the association between two continuous variables, such as in a linear regression (see Table 1).

To measure the strength of association between two continuous variables, Pearson correlation analysis was used.

Correlation coefficients assess the association between two continuous distributions.

All combinations of scores between the continuous measures yielded significant medium to high correlations (Table 2).