Sentence examples for disparate estimates from inspiring English sources
Determining whether different data sources yield disparate estimates of racial and ethnic disparities in preventive procedures is relevant to national monitoring of these disparities.
Over the last decade, epidemiological studies have come up with wildly disparate estimates, from 5.2 cases per 10,000 (in a large Norwegian study) to 72.6 per 10,000 (in a small Swedish study).
As a mix of both regional scale and global scale projects, NASA-CMS will be increasingly faced with disparate estimates of carbon states and fluxes at different scales.
We also investigate the effect of parameter uncertainties, and find that the imprecise knowledge of the tritium solubility in PbLi in particular leads to very disparate estimates of tritium losses.
Many of the projecting neurons in nucleus basalis are cholinergic, but there are disparate estimates of the proportions of neurons that are cholinergic and non-cholinergic.
In view of the disparate estimates of the African influences obtained for the two Spanish populations analyzed, we anticipated an increase of false positive results in population-based association studies of genes with disease simply due to systematic differences in such influences.
"With disparate time estimates coming from the genetic studies, we need archaeological data to fix the chronology for when people are present in different places," Rademaker says.
Of course, these disparate futures, estimated by Joseph Chamie, a demographer who once headed the United Nations Population Division, rely on a few assumptions.
In addition, previous studies provided disparate divergence time estimates.
Among the 40 Minnesota practices studied by Solberg, mean glycemic control (A1C ≤ 8%) was 69% and mean BP control (<130/85 mmHg) was 49%; in our study, mean BP control, defined as <130/8 0mmHg was 40%, and it is likely that the discrepancy in BP control definitions between our study and Solberg's are largely responsible for the disparate BP control estimates.
A data fusion framework has been proposed to integrate data from disparate sources to estimate potential risk for various public health issues.
