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Prevalence rates differed in different types of populations (Kruskal-Wallis P = 0.001).
These results serve to make an important point: the determinants of self-rated health can be expected to differ for different types of populations.
Simple weighted averages calculated from a single study sample may be used to assess variability in accuracy in different types of populations.
In the following we will explore three examples drawn from our empirical material where we think that biobanking practices are giving rise to the construction of different types of populations.
We describe and discuss, in particular, the application of this system for the analysis of behavior and interest of visitors in different types of populations and visits: on-site/ad-hoc (exhibitions, museums, cultural events) and territorial (historical downtown, archaeological or other touristic areas and routes including cultural resources).
It is of interest that findings were replicated in three studies based in different types of populations.
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Systematic studies of design effects on different types of population parameters (means, ratios, frequency distributions, etc).
Similarly, Igo (2007) has argued that different types of population surveys, polls and gallops and other studies help construct the ways in which the population and their perceptions and opinions are projected, giving rise to reified notions of national self.
Therefore, for these two separated populations, truncated power laws are associated with different types of population instability.
We compared the estimates of current smoking across the different types of population, considering national representative samples of the general population as the reference class.
The studies were conducted in 5 different types of population, including general population (n = 14), occupational groups (n = 3), university students (n = 6), users of primary health care centers (n = 6) and volunteers (n = 1) (Additional file 1: Table S1).
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