Sentence examples for a more robust sampling from inspiring English sources

When a single heritability estimate based on a more robust sampling of data was used to estimate realized accuracies, results became more stable in the analyses using smaller subsets of the data [See Additional file 2: Figure S1B] and assessments of DGV accuracy could then be based solely on the estimated correlation between phenotype and predicted DGV within the validation set.

A more robust sample of African-American voters comes from the Gallup poll, which interviews about 3,500 people a week for its national tracking poll and does include cellphones in its sample.

As recommendations for new research agendas, it is suggested that future studies use an experimental design with a more robust sample, more equally stratified in relation to gender, and cover the different levels of education, income, and professional categories.

These two years of data were collected independently of one another but combined to provide a more robust sample size for the current analysis.

If further research endeavors using, for example, a more robust sample size provide results supporting those observed in this study, then average long term Hg exposure values obtained from hair strands may provide an alternative to blood-Hg levels.

Equal RNA quantities obtained from the three cultures grown in the same condition were pooled to reduce biological differences between replicates and to obtain a more robust sample and representative of each condition examined.

The present study pooled the 2004 and 2006 MEPS public use data to achieve a more robust sample size; the 2006 data are the most recent MEPS data that are publicly available.

To sum up, to our knowledge, this is one of the first studies with sufficient data (a more robust sample, albeit not gained through a probability sampling method) to investigate the effects of work discrimination and other selected sociodemographic characteristics on the SRH of immigrants, specifically, immigrants from Ukraine.

Further investigation of the 'seven centers' hypothesis, will require the development and application of more variable markers to a much more robust sampling of the available safflower germplasm.

More robust sampling over a larger number of collection sites would help in confirming this trend.

While providing a useful basis for national wood assessments, Ferguson (2014b) has identified some limitations in plantation forecasting in Australia, including the need for more robust sampling for growth and yield and information on replanting assumptions.