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The uncertainty introduced by selecting different models was high regardless of species or how tree components were combined (either in terms of subcomponents or the type of correlation of tree components).
The type of correlation method was therefore limited to a non-parametric method.
The type of correlation coefficient calculated in each study was coded.
These potential moderators included the type of correlation calculated and the number of data points used to calculate the correlation coefficient.
A high selectivity ratio indicates wavenumber regions that have a strong impact on the prediction, and the type of correlation is inferred from the regression vector (i.e. positive or negative).
Further, the strength of correlation did not depend much on the sequence coverage and the array detection cutoff, or on the type of correlation test used (see Additional file 1: Figure S3 and Table S3).
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We examined the three studies that directly compared men and women with thermography, regardless of the type of correlations reported.
Once candidate hubs have been detected, the user can directly inspect in his/her data the type of correlations associated with each hub.
FR value indicates (Table 2) the types of correlation between factors and floods.
Using this approach, groups of correlated parameters and the types of correlations can be identified and, hence, the parameter identifiability issue can be addressed.
These levels appear to be defined by the type of spatial correlation characterized by the sampling correlation matrix R X.
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CEO of Professional Science Editing for Scientists @ prosciediting.com