Sentence examples for efficient method of data from inspiring English sources

This is often the most efficient method of data collection for performance indicators, and is therefore frequently used in resource-constrained settings.

The CDA survey appears to be a feasible and efficient method of data collection in the Nouna HDSS in rural Burkina Faso that deserves further exploration.

However, if availability estimates from the studies are similar, this would lend support to using the simplest, most efficient method of data collection in settings where routine data collection and monitoring systems are not yet in place.

Hot deck imputation was selected for this study because it is proven to be the most efficient method of data imputation as it is more robust in large samples when compared with other imputation methods.

However, the goal of our study was to demonstrate whether a more efficient method of data collection (i.e., using electronic discharge summaries as a retrospective form of data collection) would have acceptable inter-rater reliability and sufficient validity compared to the gold standard (complete chart review).

The analysis of these data calls for new and more efficient methods of data analysis [ 2].

The study results suggest that ANCOVA is a statistically efficient method of analyzing data of this nature and also, that the use of change and percent change scores should be employed with caution since the statistical power of these methods is highly dependent on the correlation between the baseline and the outcome.

With a faster, more efficient method of collecting diagnostic data on a molecular level comes new possibilities for everything from drug synthesis to bacterial diagnostics, blood composition analysis to biological culture analysis.

More efficient methods of clinical data collection could result from introduction of electronic medical records systems which have the further advantage of employing inbuilt clinical decision support systems and periodic reports.

An efficient method of interfacing between patient related data and the signal processing methods used to interpret these data is a critical component for a successful patient monitor, particularly for use in high dependency environments.

Our results indicate that these quartet-based methods are much less accurate than the simple and efficient method of neighbor-joining, particularly for data composed of short to medium length sequences.