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Using independent One Sample Chi-square Tests, we then compared these percentages (behavioral problems and low social competence in this research sample) to the proportion of children classified as "at risk of" in the general population (Achenbach and Rescorla 2004).
We identified the percentage of readmissions for each of the 10 most common diagnostic categories by modified condition categories among hospitals with high, average, and low performance and compared these percentages across hospital performance groups.
We then calculated the percent of penicillin-nonsusceptible (MIC >0.1 µg/mL) pneumococci (%PNSP) among isolates in each of these sentinel groups and compared these percentages to the area's actual %PNSP, as measured by ABCs.
To determine whether the reporting of CRTs has improved over time, we calculated the percentage of trials clearly identified as "cluster randomized", "group randomized", or "community randomized" in the title or abstract, and compared these percentages by year of publication.
To estimate demographic distributions for WIC attendees for the 7 months of our data collection, we averaged percentages for demographic groups in the WIC data (numbers per month ranged from 765 to 840) and compared these percentages to those for our sample using estimations of effect sizes to compare proportions [ 21].
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After comparing these percentages to the relative excess values we conclude that the feedforward structure may explain over-representation for some threshold values but not for others.
It is difficult to compare these percentages of inclusion, though, since several publications make no mention of such data and the method and criteria of inclusion and exclusion are also determining [ 6].
We can compare these percentages to those shown in Table 1, and can see that the implication is a rather lower level of overall satisfaction: 21% of respondents reported that there care was less than 'Very Good', while 25% would have responded in this way if we assume non-respondents are like the latest actual respondents.
We calculated the percentage identities between the pepsin sequences from Shewanella species and compared these with the percentage identities from other peptidase families.
I'd like to compare these shooting percentages with those of the next couple of rounds, after the basketballs have some wear.
We compared these results with the actual percentage of patients meeting the criteria of MetS according to modified NCEP criteria (Table 1).
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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