Exact(60)
Data managers reported that eCRFs saved time and improved data quality, however we cannot exclude that the perception of fewer queries simply results from a smaller number of variables monitored; clinical research associates valued the automated quality checks and easier storage of electronic data.
Lessons learned included the need for improved population estimates and standardized reporting procedures for improved data quality and dissemination; the importance of a simple and flexible model for data collection; and greater investment in supervising CHWs.
Results demonstrate improved data quality and phosphorylation localization accuracy while preserving sufficient reporter ion production.
The course is expected to contribute to the improved data quality, usage, generation, publication and appreciation of food composition data.
Multi-year field performance showed that the PEAMA greatly improved data quality during pit fan airflow monitoring compared with previously adopted techniques.
Despite the improved data quality obtained using an algorithm that may include peak addition and tail estimation, the accurate determination of 241Am by alpha spectrometry relies primarily on reduction of peak overlap rather than on algorithm selection.
Our purpose is to highlight some of the past and potential future uses of microarray in nutrition research, while also commenting on some aspects of the design conduct and analysis of microarray data that will leave to improved data quality.
On the other hand, the maturation of multispectral imaging cytometry in flow imaging and the slide-based laser scanning cytometers offers great hopes for improved data quality and throughput while proving new vistas for the multiparameter, real-time analysis of cells and tissues.
On the one hand, they enforce improved cost accounting, resulting in improved data quality.
Intrinsically, businesses know that better data quality leads to better results, but proving the ROI before receiving additional budget to invest in improved data quality is the challenge.
The final stage of interpretation involves an iterative process, since the analysis should be adjusted, e.g., if there is potential for improved data quality of important processes.
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