Sentence examples for a very large prevalence from inspiring English sources

However, only a very strong unmeasured risk factor for cardiovascular disease together with a very large prevalence imbalance among exposure groups could explain our findings (38).

This means that if the instrumental variable and OLS biases are both very small a researcher could still find a very large prevalence difference ratio if the instrumental variable bias is small, but slightly larger than the OLS bias.

We estimated that an unmeasured confounder or an underreported confounder with a risk for CHD of 1.5 would need to have a very large prevalence imbalance to explain our findings (39).

Non-RA black African subjects experience not only a very large prevalence of obesity [ 53] and hypertension [ 54, 55], but also a strikingly large systemic inflammation burden [ 56- 58], whereas serum C-reactive protein concentrations are not increased in black Africans compared to white patients with RA [ 52].

As seen previously, the dynamic model predicts a very large variability of FIV prevalence in males within population (see Fig. 6a), which is larger than with the binomial model (see Fig. 6b).

By comparison, in a cohort design researchers would need a very large sample size, given the prevalence of autism, to acquire the same number of cases.

Since more than half the population were in fact living above 1,000 m, this explained a very large part of the overall excess prevalence.

Familial aggregation was detected in a very large (n = 11,501) community-based prevalence study in the 1960's.

This study has a very large sample with a quite low prevalence of ASCUS+ cytological modification (6.4%).

The provinces west of Ontario had a combined prevalence intermediate between those of Ontario and the eastern provinces, but this region covers a very large geographic area, which may include heterogeneous provincial prevalence rates.

When an expected prevalence is not known, sampling intensity should focus on finding at least one positive animal assuming a very low prevalence, which often requires a very large sample size [ 68].