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Both measures can be then seen as percentages.
Descriptive statistics for both measures can be found in Table 3.
In this representation, the rises in both measures can be assessed relative to their respective ranges of magnitudes and compared across all pairs.
A method for comparing the difference between a patient's scores on two measures with the differences observed in controls is also described (one or both measures can be slopes).
In that way both measures can be made from the same sample.
We do not invalidate these findings with our study, but we questioned the equivalence of a 10-minute rating to a 'full-information' condition and did not find evidence that both measures can be used interchangeably.
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We show that both performance measures can be potentially enhanced by carefully setting a certain design parameter that reflects the priority level of the users located in the region around the cell center, denoted as Zone 0, in terms of the achievable rate.
(2) The significance of both clustering measures can be tested with permutation tests [ 28- 30].
In both situations, performance measures can be ranked if their likelihood ratio distribution functions differ by a mean-preserving spread.
Both of these measures can be employed in studies where the aim is to elucidate the relationship between neural activity and cognitive processes.
Both of these measures can be implemented quickly and easily.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com