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Two observers were said to agree if their measurements were within 2 mm Hg of each other.
The HemoCue is a reliable method of blood glucose analysis.17 To ensure accuracy of data, the HemoCue instruments used in the study were compared against a blood glucose analyzer (YSI 2300 stat, YSI Inc., Yellow Springs, OH, USA) to ensure that samples of measurements were within 5% of each other.
Both measurements were within 1 2 orders of magnitude of detection by deep-targeted sequencing of these mutations (0.57% for Patient 2/mutated RPS15; 0.07% for Patient 3/mutated DGKA; Supplementary Data 1). Figure 3: Droplet-based detection of resistance subclones at the time of treatment initiation.
With respect to ultrasound intra-observer results, the correlation coefficient ρ = 0.999 (p < 0.01), standard error of the estimate = 1.1 mm and 95% of measurements were within ±2.2 mm.
In 92% of scans, measurements were within 5 mm of each other.
Bland-Altman analysis showed that all measurements were within the ±1.96 standard deviation range.
It was found that the differences between photogrammetric and manual measurements were within 0.4 mm on average.
Blood glucose levels were monitored for the next 48 h, and all measurements were within normal limits.
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The discrepancies between the predicted results and the experimental measurements are within ±2%.
The accuracy of the procedure, determined by spiked recovery measurements, was within 95 105%.
The error limit in the 'weighing measurements' was within ±5%.
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