Sentence examples for preferred threshold from inspiring English sources

However, although digit preference tends to undercount both those values immediately above and immediately below the preferred threshold values, the practical outcome of digit preference is usually misclassification into higher, rather than lower, Mantoux categories (eg. ≥5 mm; ≥10 mm; and ≥15 mm)[22].

The acquisition starts automatically when the preferred threshold is reached, approximately 100 to 150 HU above the baseline value.

The output of this Bayesian approach is a posterior probability of pathogenicity, allowing users to choose their preferred threshold for declaring a variant to be pathogenic.

Main outcome measures: the choice of drug and preferred threshold temperature for intervention with antipyretics in clinical practice and in a clinical trial.

Because the cost of the intervention affects the cost-effectiveness of the FPG threshold, it ultimately affects the selection of an economically preferred threshold of the FPG test for diabetes prevention.

For example, in the current situation, at least 80% of the elective medical retina patients experienced a waiting time of less than 9 weeks, while the preferred threshold value for this patient group is 5 weeks, based upon the so-called Treek norm which was set by the Dutch government.

When considering the likelihood of meaningful clinical improvement after THA, clinicians may prefer thresholds with higher sensitivity at the expense of specificity, thus detecting more patients with problems at the expense of falsely identifying healthy patients as troubled.

For this reason they are often preferred over threshold-dependent methods for gene lists associated with a continuous score.

However, in the other two cases Treat Boundary Spanners is more cost effective it is preferred at thresholds between $6995/year and $9393/year when social influence is medium, and between $5945/year and $8809/year when it is high.

Comparison between Bayesian regressions was dependent on the data set used, although the threshold version of the Bayesian LASSO seemed to be preferred to the threshold Bayes A. RF and boosting do not need an inheritance specification model and may account for non-additive effects without increasing the number of covariates in the model or computing time.

The single threshold option was statistically preferred over the multiple threshold (comparison of single and multiple threshold GMYC: Chi-square 4.29, d.f. 12, p = 0.98, n.s).s