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Using confidence intervals in within-subject designs.
This work clearly shows that using confidence scores for navigation can shrink users' correction times.
Using confidence scores to improve hands-free speech based navigation in continuous dictation systems.
Using confidence intervals to quantify the uncertainty in the end-points of stratigraphic ranges.
Rarefaction compares observed taxon richness at a standardized sampling effort using confidence intervals.
Noninferiority of the experimental type is assessed using confidence intervals for differences in breakage and slippage probabilities.
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They analyzed the results derived from these scales in using confidence-accuracy calibration measures as well as correlational measures.
Using confidence-accuracy characteristic (CAC) plots, we asked whether confidence ratings would yield similar CAC plots, indicating comparability in use of the scales.
We compared subjects' use of 4-, 5-, 20-, and 100-point scales in recognizing words (Experiment 1) and faces (Experiment 2) using confidence-accuracy characteristic (CAC) plots (Mickes, 2015).
This algorithm builds decision trees over a user-defined number of iterations using confidence-rated boosting, which results in an option tree [ 41].
Calculations of sensitivity, specificity, predictive values and likelihood ratios with 95% confidence intervals were performed using Confidence Interval Analysis software © Bryant T.N. 2000[ 21].
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