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An ideal sample would include all hospital pharmacists.
The extensive list was used to ensure our sample would include various types of CCE-related concepts.
Additionally, by limiting the sample to this age-range we attempted to minimise the chances that the sample would include people with pre-existing dementia.
These differences were notable because the NHANES sample in the Beatty et al. study included unemployed individuals with likely a higher prevalence of disease, such that the unemployed sample would include also those too sick to work.
4 11 21 22 Given that previous studies have found that many problems in care are related to general clinical care processes (including omissions of care) rather than specialist technical processes and that our sample would include many patients with multiple pathologies, we required reviewers with a generalist orientation.
This distribution was meant to ensure that the study sample would include enough infants from these three key populations; however, because of recruitment difficulties, this constraint was released during the course of the study (about half of children were recruited after the removal of distribution recruitment requirement).
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Commonly, endotoxin sampling would include collection of dust at only one point in time from one or at most a few rooms.
Thus, the sampling would include in utero (gestation), postnatal (for breast-feeding infants), before puberty (pre- and peripuberty), and postpuberty (or the completion) periods.
It should be noted that our gene sample is not a random one with respect to the genome in general, in which case we may expect that a large sampling would include a certain proportion reflecting different constraints, i.e., classes of genes each evolving under neutral, positive, and purifying selection.
First, it is possible that fertility experience is higher in this sample than in a fuller sample that would include the women who were not found at midterm.
These trends may reflect the large size of the sample, which would include a sufficient number of HLA alleles in the training data set, thereby increasing predictive accuracy.
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