Sentence examples for few replicates from inspiring English sources

Although these data are not surprising based on the relatively high dose rates, they are important to future work at the LoDIF because they confirm the utility of our chosen model organism for detecting population-level responses, and they illustrate the statistical power achieved from using replicated mesocosms, in that statistical significance was achieved with few replicates per treatment.

In a NOEC analysis involving only few replicates, the detection of a small effect cannot be expected due to the small statistical power of a statistical test on binary effects with few replicates [14].

With few replicates and high variability both within and among these large-scale treatments, investigators face the possibility that differences might only be detectable at untraditionally high significance levels.

As a NOEC is typically reported without the circumstances of its genesis, a user cannot comprehend whether a high NOEC is either due to weak toxicity or to an experiment with few replicates [15].

As the macroinvertebrate samples consist of only few replicates I followed recent developments in statistical reasoning and calculated the confidence interval (CI) of the difference that ozonation makes [28, 29].

Elasticity analysis indicated that adult survival, and litter size of three- and four-year-old females are most important to λ in 99.3 and 0.7% of all replicates, respectively; the few replicates with higher elasticity for litter size occurred in scenarios with some type of correlation among vital rates; of these, 21 (70.0%) occurred in scenarios with 20% reductions in subadult and adult survival.

Very few replicate studies have re-evaluated the prevalence of primary headaches in this age range and it is uncertain whether the prevalence is increasing.

We believe that this issue is likely widespread among genome-wide tests that based on only a few replicate samples.

We then systematically investigated the replicates for the dissimilar conditions to determine whether these or any other evidence put higher confidence on one or few replicate(s) over other(s).

The most likely reason for the failure of IUTA to control the Type I error rate is that the validity of its tests' p values is justified theoretically for large numbers of replicate samples but not for the few replicate samples used in studies of isoform usage.

For instance, the early microarray studies involved often only very few replicate samples and they determined differential expression using simplistic statistics, such as fold-change, while it soon became evident that it is essential to consider also the variability over replicate samples.