Sentence examples for use of robust data from inspiring English sources

Key to getting funding has been its use of robust data proving its impact and efficiency.

Any attempt to highlight patterns in a dataset for such a restricted scale (locally and chronologically) needs to make use of robust data analysis methods; thus our results were submitted to exploratory statistical analysis.

Additional experience and learning is also needed on the development and use of robust data collection systems for integrated services, the types of changes to anticipate and monitor, and attribution of changes to the integration process itself, in particular to ensure that integrating family planning with existing immunization services does not have a negative impact on immunization performance.

Besides the Israeli project, however, there is a dearth of robust data on the use of owls to control rodents, says Lourens Swanepoel, a conservation ecologist at the University of Venda in Thohoyandou, South Africa.

They include a number of robust data protection safeguards.

Due to the complexity of aberrant molecular patterns involved in expression, pathological progression and biological/clinical heterogeneity, the search for novel TNBC biomarkers and therapy targets requires collection of multi-dimensional data sets, use of robust multivariate data analysis techniques and development of innovative systems biology approaches.

Therefore, despite over 60 years of use, robust data on toxicities of long-term glucocorticoid therapy are sorely lacking [ 67- 70].

The strengths of this study include its use of robust and accurate data on maternal and perinatal serious adverse events captured by the PMMRC, and the careful matching of cases with those reported by the HQSC SAE reports with the help of data from individual DHBs.

It also addresses the underlying conditions that sustain child marriage, advocating for laws and policies that protect girls' rights while highlighting the importance of using robust data to inform such policies.

The current paper will illustrate the use of robust regression for SHM data analysis through experimental data acquired from the Z24 and Tamar Bridges, although the methods are general and not restricted to SHM or civil infrastructure.

Use of robust methods that optimise data and account for unmeasured variables could be helpful in assessing the effect of unknown risk factors thus improving patient management and care in South Africa and elsewhere.