Sentence examples for accuracy of systematic from inspiring English sources

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Objective: This study was undertaken to determine the accuracy of systematic intraoperative clinical evaluation of lymph nodes in women with gynecologic cancers and to examine the factors affecting such accuracy.

Thanks to the sampling of new taxa and nuclear DNA data, our phylograms helped to test the accuracy of systematic treatment of Microtus taxa and close genera.

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The accuracy of this systematic review and meta-analysis was assessed using the checklist of items in accordance with the "Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement" [ 16].

To collect reasons for selecting the methods for meta-analysis of diagnostic accuracy from authors of systematic reviews and improve guidance on recommended methods.

This study has drawn attention to some areas of reasonable accuracy and others of systematic inaccuracy in self-report data describing service utilization over a 12-month period.

This preference for individual responsibility may arise from concern about fallacies in the accuracy and sensitivity of systematic priority scoring tools in clinical practice which have been shown to exist [ 32, 33].

We reached a measurement accuracy of 2 μm systematic and 2 μm statistical uncertainties in the horizontal and vertical directions in the working area 220 cm (horizontal)×60 cm (vertical).

It indicates that the vibration properties of the suspended particle have a significant effect on the measurement accuracy and the generation of systematic error.

In addition, the prediction model had good discriminatory accuracy, with no evidence of systematic under- or over-prediction at the individual level.

The Standards for Quality Improvement Reporting Excellence (SQUIRE) Guidelines were published in 2008 to increase the completeness, precision and accuracy of published reports of systematic efforts to improve the quality, value and safety of healthcare.

Microarray data quality may be defined in terms of accuracy (systematic bias between the true and measured value), precision (the uncertainty in replicated measures), specificity (the selective power of the measurement to respond only to the specific targets) and sensitivity (the expression range potentially covered by the measurement) [ 10].

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