Sentence examples for enlarged sample from inspiring English sources

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.

The second and third regressions are based on enlarged samples.

We consider that the nonsignificant result observed in the enlarged samples may be due to the small sample size.

We subsequently detected the expression of RSK4 by immunohistochemistry in enlarged samples of normal renal tissues and RCCs, and indeed found that RSK4 was overexpressed in RCCs (P=0.003).

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.

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].