Sentence examples for enlarged sample size from inspiring English sources

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.

Such selection bias had certain impact on the evaluation of diagnostic accuracy in the present study; further study characterized by an enlarged sample size should be performed to confirm the validation.

A major strength of this study is the enlarged sample size, as compared to the previous meta-analysis, and we added 17 newly published case control studies, which provides enhanced statistical power and offers more precise and reliable effect estimates.

Consequently, the negative finding for genes and SNPs excluded from the analyses using the Full-size Sample Set in this study may be due to type II error at lower relative risks, and they need to be investigated further in an enlarged sample size.

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.

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].

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.

Therefore, SE researchers are tempted to explore alternative sources typically available on the Web for enlarging samples' size, such as social networks (de Mello and Travassos 2013; Joorabchi et al. 2013).