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Descriptive statistics were described in participants classified into these quartile age groups.
These quartile scores were used to define poor COC, high symptoms and low quality of life in our sample.
These quartile variables characterize the distribution of energy across the spectrum and indicate the frequency below which 25, 50 or 75%, respectively, of the energy can be found.
Given the large number of statistical tests conducted, we would have expected at least three statistically significant associations; thus, these quartile associations are likely due to chance.
The NRI was calculated by first fitting a 'base model' which grouped participants into quartiles of their predicted probability of melanoma; these quartile distributions were then compared to the 'comparison model'.
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These quartiles are shown in Appendix.
The differences between these quartiles shown no significant difference in APACHE II, SOFA score, number of organ failure (NOF) neither 28 day-mortality.
The rising tide has indeed "lifted all boats": both of these quartiles saw an average increase of one-half letter grade and approximately an 11 percentage-point increase in gateway course success rate and STEM retention rate.
After establishing the basic facts on outcomes that need to be explained, we divide the students into quartiles based on their high school FCAT scores and explore differences between these quartiles – which likely reflect their differences in early achievement – versus those differences within quartiles, which cannot be attributed to achievement gaps10.
These quartiles represented, respectively, positive growth inhibition cut-off values of 60% and 75%, corresponding to 53% and 60% less risk of infection.
These quartiles were established separately for European and US hospitals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com