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Analysis of a sample typically takes ~10 seconds and produces measurements with errors of less than ±1%.
The precision is the ratio of measurements with errors equal to or less than the accuracy.
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All data are shown as the mean value of at least three measurements with error bars of one standard deviation.
All reported values are the average of three or more independent measurements, with error bars indicating standard deviations.
A validation confidence interval satisfying (11) allows a rejection of the model if a noisy validation measurement with error SD is outside the interval.
In order to obtain measurements with small errors, the defocus should not be chosen solely to maximize contrast, since this will also cause large errors due to aberrations.
The simulations agreed well with the measurements with relative errors below 10% in most cases.
When comparing the proportion of measurements with measurements errors greater than 10° (Table 2), the only significant differences identified were that hip abduction was more precisely measured with digital photography than visual estimation (93% vs. 83%, p = 0.019).
This gave MW measurements with smaller errors and better confidence in the measurement.
The thickness reported is the average of six measurements, with the errors reported as standard deviation.
Questionable results and measurements with technical errors were also excluded from the analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com