Sentence examples for suggest very large from inspiring English sources

29 I has a scale of 0 100%, and values >75% suggest very large between-study heterogeneity.

Confirming the exact number of children recruited into the conflict in South Sudan is challenging, given the security situation in the country, though reports suggest very large numbers.

Such improvement suggests very large carrier mean-free-paths for scattering and is large enough to compensate for the detrimental effect of SRS.

Some of the suggested very large structures in the most recent, 6th Framework, Programme have added to scientists' anxieties.

And, the shear stresses drop significantly with distance, suggesting very large shear stress close to the plate boundary for non-Newtonian material.

When I >50%, suggesting very large heterogeneity between studies, the random effects model was used and a sensitivity analysis was planned to evaluate heterogeneity among studies.

These loci were not replicated in additional cases/controls defined by specific IgE or skin prick test suggesting very large numbers would be required to investigate these phenotypes and/or definition of cases using multiple allergens may lead to heterogeneity; analyses of single allergens may be more productive [ 52].

Campbell's article does not explicitly say MPs should be paid more, but argues the case strongly, echoing the views of those who feel that if MPs were paid more – some even suggest a very large increase alongside a much tougher cap on expenses – it would encourage more experienced professionals from the public sector and business to move into politics.

The sums, even assuming large attendances (25,000 people saw the show in the first 12 days), do not suggest a very large profit.

Watanabe's results suggest a very large role was played by the contraction of capital in business lending: had capital not been squeezed, business lending to sound industries (which indeed fell, depending on the industry, between 3 and 5%% points) would actually have increased.

Also, this could be due to low power as we only had 38% power to detect an association using this design and recent genome-wide association studies suggest that very large cohorts are needed to detect modest association commonly seen for T2D [30].