Sentence examples for careful data analysis from inspiring English sources
And the FT will sell a lot of copies of today's paper, demonstrating that careful data analysis can be good for business.
It requires careful data analysis which can provide authentic, accurate and reliable information for good decision-making in disease diagnosis.
By a careful data analysis and normalization of the spectra at the carbon K-edge we have quantitatively evaluated the extent of valence sp hybridization of the films.
Since the intensity of the TEDOR signal is not normalized, careful data analysis that considers both intensity and dipolar oscillations has to be performed.
The iterative process of thoughtful design and careful data analysis ultimately produced a simple, five component media, which increased titre by 46%.
For Deborah Halber, author of a forthcoming book on internet detectives called The Skeleton Crew, it's this mixture of intuition and careful data analysis that enables amateurs to solve long-dormant missing persons cases too.
Population based publications on diabetes prevalence, incidence, social and economic impact of the disease with careful statistical data analysis were included in the revision while those related to the issue but having no these characteristics were excluded.
However, these intensity-based measurements do not readily yield quantitative information on FRET efficiencies, are sensitive to the experimental settings (e.g. excitation intensity or biosensor expression level) and require careful image data analysis to account for spectral bleed-through, cross-excitation or photobleaching.
The many different (interacting) variables at play in the simulation required careful data collection and analysis.
The paper describes the careful, model-aided data analysis performed in order to select the observation set with which the model can most reliably be tuned and operated.
The key to overcome the issues with different samples and analysis is vigilance in sample preparation, state of the art mass spectrometry, careful data processing and cautious data analysis.
