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So, in workforce planning, both variables should be considered together rather than in isolation.
SvO2 and ScvO2 are clinically useful but both variables should be used with knowledge and caution.
For correlation both variables should be random variables, but for regression only the response variable y must be random.
Both mixed and central venous oxygen saturation are clinically useful but both variables should be used with insightful knowledge and caution.
Our findings suggest that both variables should be used in predicting the risk of disease to reduce risk of inaccurate predictions.
For VEGF-A and PDGF-B assessment, the staining intensity and the proportion of stained tumor cells were analyzed, since it has been a consensus that both variables should be quantitatively analyzed to evaluate the expression level of growth factors in correlation with angiogenesis within the tumor nodule [ 20, 24].
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Therefore, both droop variables should be properly merged before using them to control the real power across the interfacing converter.
It is not yet clear how this remarkable divergence of both outcome variables should be explained.
Therefore, both genetic and environmental variables should be taken into account when doing disease predictions and classifications for the most complex human diseases that have gene-environment interactions.
For more realistic sample size calculation and power analysis, the impact of unmeasured aetiological determinants and the quality of measurement of both outcome and explanatory variables should be taken into account.
Our study further indicates that both genetic and environmental variables should be taken into account when doing disease predictions and classifications for the most complex human diseases that have gene-environment interactions.
More suggestions(15)
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com