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We chose not to frame patients' risk information as a single quantity (i.e., "You have x% risk of getting diabetes in the next y years") for two reasons: First, there does not yet exist a comprehensive (prospective) risk prediction tool that combines and quantifies all of the known risk factors for type 2 diabetes, even excluding genomic risk.
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Therefore, a single quantity such as the progress variable is incapable of modeling accurately the combustion of non-unity Lewis number flames.
We therefore summarized P-values by calculating their geometric mean as defined in (6) in order to obtain a single quantity for each disease pair.
In the old days, we had time and we had space; they have been united into a single quantity; (ct,r), which we write as x0, x1 etcetera.
Usually you will get the same discount even if you just buy a single quantity.
Observations made in this study were limited to a single quantity discrimination, 2 vs 3.
As mentioned in Methods, in the presence of heterogeneity we still expect fixed and random effects estimates to be targeting a single quantity.
However, in practical applications, it is more desirable to combine these indicators into a single quantity.
These phenomena have distinct induction pathways, but the functional outcome is usually measured as a single lumped quantity.
Moreover, it is easier to take a crisp decision if the output is represented as a single scalar quantity.
Therefore, a measurement result is generally expressed as a single measured quantity value and a measurement uncertainty.
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