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Subjects were recruited with the aim to obtain equal numbers between the population groups with the pattern of recruitment monitored to reduce imbalance between the population groups.
In contrast, significant differences between the population groups were observed at the hemispheric, lobar, and regional levels (all P < 0.05).
However, in women, analyses that only included income and housing showed that employment contributed the most to the differences between the population groups.
Reasons for heterogeneity between the studies were explored in subgroup analysis, but could not be explained, suggesting that the effect sizes found may differ between the population groups.
This unexplained heterogeneity means that the effect size (i.e. the difference in the duration of illness episodes between treated and untreated individuals) may differ between the population groups.
These differences could be at least partially explained by socio-demographic, economic and cultural variations between the population groups under investigation in these studies, factors which can affect utilization of maternal health care services [ 17, 35].
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The differences between the population group standardized proportions were statistically significant for all periods other than 1975 1979.
The differences between the population group standardized proportions for miners who died from external causes (Table 4) were not statistically significant for the initial period 1975 1979 or for 2000 2007.
T-tests were used to compare means of life satisfaction between and within the population groups.
We used t-tests to compare means of life satisfaction between and within the population groups.
Only 40.1%95%5% confidence interval = 36.7 - 43.5%) of the Roma population have a family doctor but there is no statistically significant difference between any of the population groups.
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