Sentence examples for substantial samples are from inspiring English sources

Substantial samples are also required to offset the enormous degree of multiple testing inherent in genome-wide studies.

An additional methodological issue is the low statistical power for detecting an effect due to insufficient sample sizes, as selection gradients are typically low (Kingsolver et al. 2001), and therefore substantial samples are required to detect an effect.

Tobit regression is an unbiased approach for analyzing measurement data when a substantial proportion of samples are below the limit of detection [ 19].

Substantial numbers of samples are needed to minimize the spatial and temporal variations, which is commonly associated with the measurements of nonpersistent pesticide exposures (Lu et al. 2004).

Therefore, the computational time required by the MC simulation might become infeasible for the cases, where a substantial number of samples are required by the analysis.

This is not unexpected given the negative intercept of the lower stop line (see Figure 1), which mandates that if prevalence is low a substantial number of samples are required to determine this.

They found that the bias introduced by overlapping generations could be substantial unless samples were spaced apart by several generations.

For example, though useful [ 78] and potentially more powerful than studies of clinical phenotypes, quite substantial sample sizes are still needed when endophenotypes at the level of neurocognitive performance are used for genetic studies [ 11].

However, small studies with positive findings are often over-represented in the literature due to publication bias, and substantial sample sizes are needed to detect subtle shifts in the sex ratio.

The remaining variants could represent genuine novel low-impact type 2 diabetes variants; however current data do not support this notion and substantial sample sizes are needed to clarify a possible association.

Gadwalls, also a dabbling duck from which we collected substantial numbers of samples, were the least likely to test positive for AIV.