Sentence examples for data and specificity from inspiring English sources

She was relaxed and conversational, with more data and specificity than she usually deploys.

The performance of the model is quantified with respect to the two criteria, namely coverage of experimental data and specificity of granular results.

The best superconnectors uncover context, data, and specificity through conversation in order to figure out how they can help others.

Although other EmOC services are equally important, we chose to compare C section for availability of data and specificity to contracting in, as C section is currently performed only by specialists.

Using these alternate data collections as an imperfect 'gold standard' we calculated sensitivities of 83.7% for APDC, 63.9% (80.5% for two tests) for MBS, and 96.6% for PBS data and specificities of 97.7%, 98.4% and 97.1% respectively.

In this review, after a brief report of epidemiologic data and specificities of VTE in elderly patients, the authors discuss the available results of VTE primary prevention trials for elderly medical patients, the limitations of these data, and the challenges to improve the practice and to reduce the incidence of this frequent but preventable disease.

Sensitivity was 0.31 for the development and 0.29 for the validation data set, and specificity was 0.92 for both data sets.

Data retrieved from the reports included methodological quality, participant characteristics, laboratory methods, and outcome data (sensitivity and specificity).

Extracted data included the reference standard used, type of sample (clinical specimen vs. isolate), outcome data (sensitivity and specificity as determined by comparison with the reference standard), and proportion of RIF-resistant samples that were determined to be MDR-TB.

Furthermore, there are some microRNA-specific problems to be solved, such as building consensus on normalization of the microRNA expression data and the specificity of microRNA detection to distinguish microRNAs with high sequence homology.

However, this meant that only data completeness, sensitivity, and representativeness would be included as data quality characteristics and specificity and positive predictive value (PPV) would be excluded.