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A significantly lower proportion of injured children < 3 years of age were male (p = 0.014) and a significantly higher proportion were white (p < 0.0001) as compared to older children (Table 3).
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The selection of variables for inclusion in the regression was designed to account for key patient population characteristics (deprivation, proportion aged 65 or over, proportion who were white, proportion who were male), and characteristics of practices that reflect the systematic management of patients with chronic conditions.
They had become far more ethnically diverse, with the proportion who were white falling from 74% to 61%.
In our observed data, a larger proportion of cases were white British than predicted by our model.
In medical schools B and C, more than half of enrolments and graduates were female since 1999, a large proportion of whom were white.
With higher levels of breakfast intake, a greater proportion of participants were white and female and were on average more educated, consumed less alcohol, did not currently smoke, were more physically active, had a lower BMI, visited fast food restaurants less frequently, and had a higher dietary quality score.
Cases were also similar to controls in terms of age, but significantly lower proportions of cases were white and had earned college degrees (Table 1).
The proportion of veterans who were white was larger compared to the U.S. general population.
A high proportion of the children were white British (85.6%), with the remaining children self-identified as black (4.1%), white non-British (1.6%), mixed race (2.8%), Asian (2.6%), Chinese (0.8%) or other non-British descent (2.5%).
Specifically, a greater proportion of raloxifene patients were Asian compared with bisphosphonate patients, whereas higher proportions of bisphosphonate patients were white, Hispanic, or African American.
The doctor's specialty group and region of primary medical qualification, together with the proportions of patients who were white, who regarded their visit as very important, or who were seeing their usual doctor were all independent predictors of patient scores.
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CEO of Professional Science Editing for Scientists @ prosciediting.com