Sentence examples for the threshold for evaluating from inspiring English sources

The threshold for evaluating accurately the lymph nodes in CNB is still not clear.

Δ gap startle ratios smaller than 0.48 (dotted line, which is the point that is 2 standard deviations above the mean and used as the threshold for evaluating tinnitus) represent 98.5% of the experimental population and 98.5% of the fitted distribution.

Δ gap startle ratios smaller than 0.28 (dotted line), which is the point that is 2 standard deviations above the mean and is used as the threshold for evaluating tinnitus, represent 98.6% of the experimental Δ gap startle ratios and 98.5% of the fitted distribution.

These results confirm that the liver metabolism can be used as the reference organ for quality comparison of repeated [18F]FDG-PET studies in the same patient, or as a reference threshold for evaluating tumor response.

It is important to note, however, that all temperature-related attribution statements crucially depend on the definition of the event, and hence the threshold of evaluating the return times (for rainfall events that follow a Gumbel distribution this dependency is much weaker (see Supplementary Fig. 2 and, for example, ref. 13).

Genome-wide thresholds for evaluating the significance of QTL were determined from 1,000 replicated data sets (Churchill and Doerge 1994).

The net present value was calculated on the basis of a willingness to pay threshold of £30 000 per QALY gained, based on the perception that this is approximately the cost effectiveness threshold used for evaluating health technologies in the UK.

These values were used to create thresholds for evaluating whether a stove was in use or not.

To a different/stochastic combination of the resizing amount in both directions, no consistent threshold exists for evaluating the deformation.

We also compute a threshold level for evaluating the significance of density regions using the following background model: Compute an average number of features for window w as n w = nw / L. Calculate the kernel density at a fixed point, x c, within the window given a random and uniform distribution of the n w features.

The two strategies for evaluating the threshold were both adopted in our experiments.