The significance of a correlation is determined by t = R/sqrt((1-r^2)/ n-2)), where R is the correlation value and n is the number of samples.
Even if a significant correlation was determined between a biomarker and a measurement of outcome, the literature has failed to demonstrate reproducibility.
Upon applying a post-harvest drought period (14 days without irrigation), a linear correlation was determined both between SWP and maximum daily trunk shrinkage, MDS (R2 = 0.69) and between SWP and trunk growth rate, TGR (R2 = 0.57).
Finally, a new correlation was determined.
A significant correlation was determined between the extent of carbon fine deposition and microbial growth.
Importantly, a positive correlation was determined between 11β-HSD-1 and GCR mRNA levels in MAT (r = 0.529; p = 0.001).
A positive correlation was determined for peaks due to cellulose and lignin vibrational modes (for example, 1117 and 1338 cm−1).
Using Spearman's test, a rank correlation was determined between the expression of oyster genes and viral DNA amounts.
Furthermore, a strong correlation was determined between IL-6 and sFas at day 5 (r = 0.42; P < 0.01) and day 9 (r = 0.4; P < 0.05), but not at day 1 after major trauma.
A positive correlation was determined between EAT and MAT GCR mRNA levels and waist circumference (r = 0.520; p = 0.002, r = 0.4; p = 0.019) and between SAT GCR mRNA levels and BMI (r = 0.429; p = 0.009).
