Sentence examples for relative low sample from inspiring English sources

In addition, the generalizability of this study may be limited due to the convenience sampling technique utilized and the relative low sample size.

Limitations of this study are the relative low sample size in both cohorts and the retrospective evaluation of cohort A. We did not analyse the day-to-day variation in serum sodium.

The several multivariate analyses we performed as described in various combination of 2 3 CV risk factors in addition to age and sex, due to the relative low sample size, should obviously be interpreted with caution and we did not test for the multiple testing in these analyses.

Although long-term activity monitoring requires relative low sampling rates (10 Hz is sufficient according to [35]), tight energy budgets introduce a trade-off between the quantity (i.e. frequency) and quality (i.e. resolution) of the sensed data, and the battery lifetime.

It is worth to point out that the power of detecting gene × gene interaction might be low due to relative small sample size.

The only limitations were the relative small sample size and the low number of SNPs, for which we cannot really reach a similar genome-wide significance threshold in humans (will discuss below).

As shown in Figure 11a, when using the time domain feature, the test likelihoods of Yark-42 samples are relative low, and many confuser samples have higher test likelihoods than Yark-42 samples.

EST frequency analysis, MPSS and SAGE however, have other limitations such as relative high cost and low sample throughput.

The lack of statistical significance in insulin receptor mRNA expression is probably due to the relative low number of examined samples.

The low prevalence of SAr combined with the relative low sensitivity of milk samples to detect SA infections estimated to about 75% [ 2, 19] might also explain some of the variation in prevalence.

These experiments typically result in low sample size, relative to variability, and so we are looking at a number of studies in combination to maximize the gain from each one.