Sentence examples for based on larger sample sizes from inspiring English sources

Results indicated that models based on larger sample sizes transferred more consistently and captured the variability within the terrain attributes in the respective study areas.

To be able to confirm the hypothesis that risk for, or levels of, fatigue are influenced by the genetic or epigenetic background of an individual, studies need to be based on larger sample sizes with a more clearly defined phenotype.

Based on the individual MLST loci, there were signs of recombination in the allele sequences of abcZ, aroE, pdhC and pgm, and the mean relative recombination to mutation rate ρ/θ was estimated to be about 1.25 (CI0.95 = [0.114, 2.851]) which is comparable with earlier estimates based on larger sample sizes [23] (Table S1).

Genetic heterogeneity of effective pollen pools was reported in other studies based on larger sample sizes [ 15, 37].

Since then, multiple formulae have been proposed based on larger sample sizes, including those by Mosteller, Haycock, Gehan and George, Boyd, Fujimoto, and Livingston [ 3].

It is necessary to further elucidate the role of personality and its disorder specificity for internet addiction in upcoming research projects based on larger sample sizes.

In conclusion, our meta-analysis provided a more precise estimation based on larger sample size compared with the individual studies.

Despite the fact that only 24 young men (or 12 pairs of twins) were challenged by the overfeeding protocol, the data can be useful in the effort to identify genes and mutations that should be tested in future studies based on large sample sizes.

The edge can only come from knowing exact probabilities of winning based on large sample sizes of statistically significant outcomes.

As an academic, my expectation when I joined the private sector was that the white papers and collateral released by companies in this space would be based on large sample sizes, best-in-class empirical methods and rigorous interpretation.

Recently, Narayan (2005) argues that existing critical values which are based on large sample sizes cannot be used for small sample sizes.