Sentence examples for capita predicted from inspiring English sources

Further we found the number of obstetricians/gynecologists per capita predicted increased cesarean rate for women with private insurance only, and the number of midwives per capita predicted increased vaginal birth rate for women with private insurance only.

The percent African American in the population predicted increased cesarean rates for private insurance only; the number of acute care beds per capita predicted increased cesarean rate for women with Medicaid but not women with private insurance.

This is reflected in the fact that the first annual follow-up per capita predicted annual expenditures for ACTIVE ($6,929) were comparable to the national per capita base (i.e., age ≥ 65) average annual estimate for older adults in 2003 under the applicable Medicare Advantage (MA) capitation rate structure ($6,638) [ 38].

For females, especially among the youngest workers (i.e. up to 35 40 years old) living in areas with low GDP per capita, the predicted probabilities of exit from the labour force are higher than they would be with higher GDP per capita.

And, the modest growth in real income per capita was predicted to spell defeat for Obama.

The market is set for further growth: a recent Capita report predict IPOs hitting £12bn next year.

Due to the unique aspects of evolution acceptance that GDP per capita may predict, we argue that this variable should be taken into consideration when examining international levels of evolution acceptance.

The models produced predicted per capita costs in each practice in 2007-8, and these were compared with actual per capita costs in that year.

Should the devaluation be as sharp as some Wall Street analysts have predicted, per capita income, which has fallen by 14percentt in the last four years, could plunge by another 20percentt or 30percentt.

Based on the Overall Urban Planning of Beijing (2004 2020), the predicted per capita GDP of Beijing in 2020 is USD 10,000, and the population in 2020 is 18 million.

Table 4 shows, for each model, the percentages of practices for which the difference between actual and predicted per capita costs summed across the practice was ≤3%, ≤5% or ≤10%.