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Many MQAP programs perform better when multiple statistical metrics are combined.
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As the datasets of interest (RSFA, rsMEG, and ECG/PulseOx measures) were from different modalities, we computed summary measures for each of these metrics to allow statistical analysis without excessive risk of multiple statistical comparisons.
Maddon has always been considered an eccentric innovator, credited with incorporating advanced statistical metrics in constructing lineups and helping to reintroduce defensive shifts.
Which statistical metrics are you using?
Statistical metrics considered the model performance valid with greater than 99.5% probability across all scenarios.
Then, the statistical metrics were calculated for A with respect to B. The calculation of statistical metrics on 1,000 generations of random samples A and noisy samples B provided a distribution of statistical metrics for each dataset.
The performances of different algorithms are assessed and compared using three statistical metrics.
Interestingly, the values of the statistical metrics for all ensembles increased.
Higher-order statistical metrics retain spatial information and are used to quantify inter-voxel intensity relationships.
Statistical metrics have also been used for wrapper channel selection techniques.
These steps were repeated 1,000 times, which permitted to define the distributions for the statistical metrics.
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