Sentence examples for comparison correlation from inspiring English sources

Such a representation facilitates automated software recognition of findings and observations, intrapatient comparison, correlation to norms and outcomes research.

For all species, the comparison correlation coefficient was of r ≥ 0.99 for the training subset and of r ≥ 0.96 for the test subset.

We can assume from the comparison correlation between amide frequency in FTIR spectra of SPhMDPOBn (Table 2) and protein secondary structure found in the literature (Table 3) that, probably, SPhMDPOBn in the pristine state adopt β-sheet conformation and in the adsorb state, combination of β-sheet and β-turn structures.

For comparison, correlation between different saliva samples ranged from 0.4 to 0.7.

For comparison, correlation of synonymous codon pairs in eight eukaryotes was also investigated (Arabidopsis thaliana, Ashbya gossypii, Caenorhabditis elegans, Candida glabrata, Drosophila melanogaster, Homo sapiens, Saccharomyces cerevisiae, and Schizosaccharomyces pombe).

For comparison, correlations between the WOMAC subscales (pain, stiffness, and function) were between r = 0.80 and r = 0.91.

In comparison, correlations of adherence with the four corresponding TSQM-II measures ranged from 0.19 to 0.46 (absolute values; interpolated median = 0.35; data not shown in table).

In comparison, correlations were around r = 0.35 for liver compared to any brain region (Fig. 1b) Relationships between the expression profiles of all brain regions and non-CNS tissues were further explored by unsupervised hierarchical clustering.

In a similar comparison, correlations between corresponding items on the CAADID DSM-IV ADHD symptom counts and the Conners' adult ADHD rating scale-Self Report (n = 30) ranged from 0.20 to 0.52 [ 26].

The data were then transferred to SPSS and analyzed by means of descriptive statistics, statistical comparisons, correlation analyses and multivariate analyses.

Another approach to gaining precision but retaining flexibility in modelling of heterogeneous variances is to re-parameterize the variance structure in order to ensure that the property of consistency also holds for the between-trial variance (and between-comparison correlation) parameters [ 10].