Sentence examples for 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].

In this specific example, the relative risk of the disease of interest (e.g., lung cancer) from the putative confounder (i.e., smoking) is very large and smoking prevalence is known to vary by occupation.

The study reported a substantial reduction in prevalence compared to the control areas (RR 0.27, 95% CI 0.25 to 0.28, 1 study, number sampled 47,014, Analysis 2.1) Three studies reported very large reductions in prevalence during the first month post-MDA compared to control areas (RR 0.03, 95% CI 0.01 to 0.08, 3 studies, number sampled 1934, Analysis 2.1).

Of note, the maternity units with the highest HFH prevalences also had very large differences in HFH prevalences between CS and vaginal delivery groups.

As the need for simulations of very large circuits grow, the prevalence of multicore architectures enable us to use shared memory parallel algorithms for such simulations.

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).

However, in the present study we did not find very large variations in baseline prevalence estimates, and the effects on incidence and remission estimates later on in the study are consequently likely to be small.

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.