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CMV was estimated using the correlation marker method and the unmeasured latent method construct (ULMC) approach.
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Secondly, NGS-based RAD sequencing was conducted on a small number of representative plants to identify SNP markers showing correlation between marker genotypes and plant phenotypes.
However, the correlation of marker divergence with trait divergence is not strong enough to be predictive.
Correlation of marker levels in serum and plasma.
In particular, correlation between marker decline during chemotherapy and patient outcomes requires further validation.
Correlation of marker subgroups with the achievement of a pathological complete response (pCR) (ypT0/is) was analyzed.
Correlation of marker expression was done using the Pearson correlation (2-tailed) at the 0.05 and 0.01 levels.
Bivariate BayesA analysis also allowed us to calculate the correlation between marker effects for MAST and SCS.
The difficult challenge is to validate the correlation with marker uptake and the presence of viable hypoxic cells.
High Pearson correlation between markers indicates that the individual markers supply redundant information and can lead to false-positive interactions.
Correlations between marker levels were assessed by the Spearman rank correlation coefficient.
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