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Standard errors of sensitivity, false discovery rate, and genomic distance estimates are estimated using 1,000 bootstrap samples.
22 This value is 'optimal' in the sense that it maximises the overall rate of correct classification in the absence of a loss function (ie, giving the same weight to errors of sensitivity and specificity).
Currently there is no validated epidemiological definition of gout flare, and although we followed the definition used by other authors (cfr e.g. ref [ 14]), based on clinical measurements, we expect that some errors of sensitivity (failure to identify true gout flares) and specificity (identification of subjects who did not experience gout flares) may be inherent in the definition.
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In this paper, we thus propose a new method to compute Sobol's indices inspired by Homma Saltelli, which improves slightly their use of model evaluations, and then derive for this generic type of computational methods an estimator of the error estimation of sensitivity indices with respect to the sampling size.
The classification error estimators of sensitivity and specificity, common to genetic association studies, simply correspond in this case to European and North African classification success in an arbitrary link to each population group.
These two elements show serious differences in the errors of the sensitivities.
We examine how properties of the sensor test system can introduce errors into measurements of sensitivity, reproducibility and response time of SMO sensors.
These factors can give rise to partial volume errors and loss of sensitivity and therefore must be accounted for in combining data from multiple subjects.
The standard error of the sensitivity given a chance on a positive test result of 0.8 will be 4.0%.
This is the standard error of the sensitivity.
This work provides quantitative analysis of error sensitivity of 3-D shape and motion estimation subject to small feature correspondence errors.
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