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Indeed, the division of this scientific community into two major groups one affiliated to agriculture and the other to medicine– is not perfectly correlated with the kind of modelling approach used: about 24% of models of C1 group are not population genetics models whereas 4.5% of the articles belonging to C2 group presented population genetics models.
However, several studies are not population based but use data from specialized diabetes centers or had short follow-up periods.
Although several relatively large SS case series have been reported in the literature, they are not population based and, thus, are not appropriate for our analysis.
Use of mortality records therefore provides population-based data and avoids the potential biases of facility-based data or other data that are not population based.
Proof that such discovered variants are not population polymorphisms can require the sequencing of many candidate variants in a relevant population sample which is time consuming and costly.
Although the following are not population estimates, they are statistics for a geographic region: Women living in coastal areas were at greater risk of having BHg concentrations ≥ 3.5 μg/L (16.25% for coastal and 5.99% for noncoastal residents) and ≥ 5.8 μg/L (8.11% for coastal and 2.06% for noncoastal residents).
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It follows that changes in public acceptance are not population-wide, but remain limited to specific sub-groups.
However, as our children's hospital serves as a referral center, the rates presented are not population-based and our findings may not be generalizable to other clinical and geographic settings.
Remaining data on childhood type 2 diabetes are not population-based and therefore are limited in their generalizability.
Besides, median birthweight curves created by McKewn et al are not population-based and do not contain iatrogenic multiples.
Possible future research could include studies that are not population-based but rather focus on specific diseases at specialized centers.
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