Sentence examples for mortality estimates between from inspiring English sources

The reason for the differences in one-year mortality estimates between Methods 1 and 2 can be further elucidated by inspection of the results in Table 2. Patients that ultimately dropped out were more frequently men with more advanced disease at enrollment as determined by their higher WHO stage.

Comparing the two age groups in the third analysis, we saw similar results in the mortality estimates between all adults and adults 25 years or older.

Thus, the considerable variation in the maternal mortality estimates between different locations within the same region can be attributed, to a large degree, to the differences in the availability of and access to modern maternal health services [ 3].

For example, Figure 1 shows dramatic differences in mortality estimates between different study designs, though small numbers of actual deaths and cases imparts real uncertainty in some cases, perhaps beyond the conventional calculation of confidence intervals.

The potential importance of this issue is highlighted by the fact that predefined subgroup analysis comparing mortality estimates between trials with low versus unclear risk of bias suggested the mortality benefit is not clearly apparent among the trials with low risk of bias, although this subgroup difference was not statistically significant (P =0.90).

In contrast to the 5 year survival rate approaching 100% in RCD1, the more aggressive RCD2 carries a higher risk of developing enteropathy-associated T-cell lymphoma (ETCL), and overall leads to a shortened life expectancy [ 9, 10, 14- 17], with a 5 year mortality estimated between 50-60% [ 14, 16].

First contact results in high rates of morbidity and mortality, with mortality estimates ranging between a third and half of the population within the first several years [11].

These data include some deaths ascertained through active follow-up so they correspond to mortality estimates somewhere between Method 1 and 2 in our paper.

When estimates are integrated over both RCP scenarios, the probabilities of different excess mortality estimates fall between those of the scenario-specific estimates.

ISRCTN51729393 See related commentary by Ghaferi, http://ccforum.com/content/14/3/168 Secondary peritonitis or abdominal sepsis is a serious condition with high in-hospital mortality (estimates vary between 20% and 60%) and considerable major disease-related morbidity [ 1- 4].

Comparison between mortality estimates reveals some interesting results.