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To assess the power of eight elementary test statistics and the novel combined statistic, one thousand replicates were simulated under the considered selection scenario.
To obtain the empirical distributions of the eight elementary test statistics and the novel combined statistic, one thousand calculations for each method were run in which case neutral was assumed in the corresponding populations, and the maximum observed value of each test statistic in each run was stored.
Model extrapolations, disturbances or sensor faults are first detected through a combined statistic (that considers the calibration region); then, a diagnosis is made by combining statistics pattern recognition, contribution analysis, and disturbance isolation based on historical fault patterns.
However, as the number of protective variants in the region increased, the power of the combined statistic was found to surpass that of the maximum statistic.
This combined statistic may be misleading and is not clinically useful, given that each test need not be highly accurate to provide this impressive number.
The maximum statistic showed a substantial power advantage over the combined statistic in a situation where only risk variants were present.
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By way of combining statistic damage model and viscoelastic model, uni-axial and multi-axial constitutive models of statically loaded rock experiencing dynamic load (static-dynamic coupling constitutive model) under intermediate strain rate are established.
Alternatively, two groups of aggregated association analysis methods [ 7, 9– 13] focus on testing multiple SNPs with a reduced number of degrees of freedom resulting from: (1) a combined test statistic based on the individual statistical significance for all SNPs; or (2) a combined signal directly derived across all SNPs.
As an alternative, Ionita-Laza et al. also investigated a combined test statistic that takes the sum of the two one-sided test statistics, rather than their maximum [ 6].
The doubly-randomized, 8-week double-blind treatment phase was comprised of two 4-week periods, from which a combined test statistic was generated, with pre-determined weights assigned to each of the 2 treatment periods.
David continued to say that "Alibaba's combined trading statistic give us 3-6 months lead time to predict Chinas domestic trade and export volumes".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com