2018
DOI: 10.1213/ane.0000000000002864
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Correlation Coefficients: Appropriate Use and Interpretation

Abstract: Correlation in the broadest sense is a measure of an association between variables. In correlated data, the change in the magnitude of 1 variable is associated with a change in the magnitude of another variable, either in the same (positive correlation) or in the opposite (negative correlation) direction. Most often, the term correlation is used in the context of a linear relationship between 2 continuous variables and expressed as Pearson product-moment correlation. The Pearson correlation coefficient is typi… Show more

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Cited by 4,444 publications
(1,131 citation statements)
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References 19 publications
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“…We also investigated possible correlations between gene expression/DNA methylation and body measurements as BMI, hip/waist ratio and weight, and between gene expression and DNA methylation using partial correlation (Pearson's), p ≤ 0.05 were considered significant and r coefficient interpreted according to Mukaka (2012) and Schober et al (2018) [22,23].…”
Section: Resultsmentioning
confidence: 99%
“…We also investigated possible correlations between gene expression/DNA methylation and body measurements as BMI, hip/waist ratio and weight, and between gene expression and DNA methylation using partial correlation (Pearson's), p ≤ 0.05 were considered significant and r coefficient interpreted according to Mukaka (2012) and Schober et al (2018) [22,23].…”
Section: Resultsmentioning
confidence: 99%
“…The agreement between the results of different tests performed to screen dogs for exposure to Leishmania and P. perniciosus saliva was estimated using Cohen's kappa (k) test (k < 0, disagreement; k = 0, poor agreement; k > 0-0.20, slight agreement; k of 0.20-0.40, fair agreement; k of > 0.40-0.60, moderate agreement; k > 0.60-0.80, substantial agreement; k > 0.80-1.00 excellent agreement; [28]) and McNemar's test used to test for significant differences between discordant results. Spearman's correlation coefficient (r s ) was determined to evaluate the strength (r s = 0, none; r s > 0-0.09, negligible; r s ≥ 0.10-0.39, weak; r s ≥ 0.40-0.69, moderate; r s ≥ 0.70-0.90, strong; r s > 0.90, very strong; [29]) of relationships between serum antibodies levels against Leishmania and against P. perniciosus saliva. Statistical significance was determined at α ≤ 0.05.…”
Section: Resultsmentioning
confidence: 99%
“…As myeloid cells are the primary source of TNF, we evaluated the correlation between the percentage of these cells in the head kidney and the relative expression of tnfa. The Spearman test of the data provided a  (rho) value of 0.8, suggesting a strong correlation between the 2 parameters [28]; however, the p-value of the test was not significant, p ≥ 0.05.…”
Section: In Vitro Stimulation Of Head Kidney Leukocytesmentioning
confidence: 95%