The phrase "secondary correlation" is grammatically correct and can be used in written English, particularly in academic or technical writing.
It refers to a relationship or connection between two factors or variables that is not as strong or direct as a primary correlation. Example: The researchers found a secondary correlation between exercise and mental health, suggesting that while physical activity may have a positive effect on well-being, it is not the sole determinant of mental health.
Secondary correlation with the radiology information system to see if all discrepancies were captured was not performed.
Average differences between actual and fit temperatures decreased around 3-7°C 3-7°Che upper range with the secondary correlation.
Its prediction relies on the secondary correlation with components that can be measured by NIRS (Gillon et al. 1999).
Results of the PCA suggest a clear correlation between low organic sulfur content and the occurrence of dynamic failure, and a secondary correlation between volatile matter and dynamic failure phenomena.
(It is important not to confuse this secondary correlation function calculation with the process by which the C ij were estimated -- cross-correlating records of ambient noise measured at locations i and j).
However, although the primary comparison showed no differences in absolute levels of cardiac and blood pressure parameters between groups, the secondary correlation analysis revealed an interesting observation.
Importantly, it does so without any adverse, secondary correlations and is therefore the method recommended for future use.
Some typical secondary correlations based on dynamic storage modulus i.e. variations in stiffness, degree of entanglement and C-factor, have been used to exaggerate the change in dynamic properties more precisely.
While these secondary correlations may be biologically relevant, the rate of false positives is unacceptably high for drawing functional inferences.
Such unexplained relationships result from differing attenuation rates between ARG and "their" antibiotic; unknown waste inputs along the river; differences between sediment and water signals in a flowing system; and secondary correlations between factors that affect ARG with other water quality factors that do not.
However, some studies showed no additive effect of combining different markers, likely secondary to correlation between the markers (such as ADAM12 and PAPP-A, sFlt-1 and sEng) [ 47].
