Sentence examples for enlarge sample from inspiring English sources

We should enlarge sample size regarding breast cancer patients in the future study.

As the rate of detection from the North sector was uncertain, five patients from this area were included to enlarge sample size, but excluded from incidence calculations.

This different finding about VEGF in univariate and multivariate analysis should logically encourage us to continue our investigations and enlarge sample size.

The composition of the study cohort obviously determines the quality of the outcome measure, which needs us to enlarge sample size regarding breast cancer patients in the future study, limiting false-positive conclusion due to random errors.

Aggregating data from several recruiting centres is an important research strategy in order to enlarge sample sizes and, thus, to increase statistical power which is needed for generalising results, i.e., for achieving a needed level of significance.

Although SE doesn't have yet specialized and widely adequate sources of sampling for subjects recruitment, we assert that it is possible to reduce the population bias and enlarge samples in SE surveys whether a systematic recruitment is planed over a professional social network and its results are analyzed through probabilistic sampling methods.

To enlarge sampling of flanking bases we employed the LES technique (40, 57– 59) in AMBER-7.0 (72).

We confirmed, within a substantially enlarged sample, that the frequency of autoimmune-related HLA genotypes was decreased with a concomitant increase in nonautoimmune-related genotypes in children with DSD compared with age-matched children with type 1 diabetes.

Although revealed by this study that the anti-HBs at 1 month is sensitive and early indicator for HBV infection, enlarged sample size is needed to confirm if this indicator could be a diagnostic marker which can be acceptable used in clinic care.

Second, the authors should be cautious when interpreting the trends to increased mortality in deep sedation in circumstances of a nearly significant P value because such a description gives a misleading impression and does not mean that statistical significance can be shown by enlarging sample size [ 2].

The second and third regressions are based on enlarged samples.