Sentence examples for markedly different estimates from inspiring English sources

GBD 2010 and CHERG's mortality estimates represent enormous undertakings by some of the world's leading experts in mortality estimation, yet these separate efforts resulted in markedly different estimates for country-level and etiology-specific U5 mortality for pneumonia and diarrhea.

Unfortunately the model would not converge appropriately; different starting values all produced a between-study correlation estimate of -1 but gave markedly different parameter estimates and caused spurious standard errors.

Corroborating the suggested link between calcium and obesity in the context of cancer [ 33], we found markedly different risk estimates for oesophageal cancer when stratifying according to overweight status [e.g. HR: 1.93 (95% CI: 1.32-2.82) and 0.77 (0.44-1.35) for every SD increase of albumin-corrected calcium in normoweight and overweight individuals, respectively].

It is seen that these are not markedly different from the estimates of the complete case analysis, indicating that data are missing completely at random.

However, the resulting risk estimates for individual diplotypes were not markedly different from those estimated by simpler models, including one with only a single linear term for each polymorphism.

The observers' responses are markedly different from the Bayesian estimates derived by combining optic flow and head velocity information (Eq. 14, Figures 5 and 6).

For each study, however, the prevalence of diabetes among controls was markedly different from prevailing population estimates.

The duration estimates are markedly different between the two local scenarios, as was the case for the cost estimates (Table 6).

McCarthy's idea of a screenplay is markedly different from his idea of a novel.

The cross-sectional and longitudinal parameter estimates were not markedly different from one another, with the difference translating to a facility-level Hb variation difference of approximately 0.03 to 0.05 g/dL as measured by the standard deviation, which could be considered as a value of low practical significance.

The need for fine-scale investigations of ecological processes for species distribution models is related to the differences in model results between meso-scale (coarse) and topo-scale (fine; 0.01 to 1 km) environments, whereby fine-scale models that capture fine-scale environments show markedly different range loss and extinction estimates than coarse-scale models for some species.