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(3) Use of CSF p-tau181 and CSF Aβ42, and then Aβ 42/40 ratio in case of discrepancy (method 3), attenuated the number of indeterminate results to 38 patients (10.4%; P < 0.001 compared with method 1).
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Experimental results on a wide range of real-world testbeds prove out that the features of the maximal-discrepancy method can notably narrow the gap that so far has separated theoretical and empirical estimates of a classifier's generalization error.
Consequently, the detection power P(D), sometimes written more traditionally as 1 - β, is given by Eq. 8, where C is replaced by D. Here, we examine some of the consequent properties of the so-called length-discrepancy method that will have implications for future projects.
A wide discrepancy in method separates the two voice settings.
This proposed low-discrepancy sampling method is based on the concept that the deterministic low-discrepancy sequences of points can significantly improve the accuracy of the classical Monte Carlo (MC) method over purely random sampling.
Especially, a clear-cut discrepancy between methods with a LoD lower than 0.2 IU/mL (ARC, AIA and CL2) and methods with a LoD equal to or higher than 2 IU/mL was apparent.
Therefore, the low-discrepancy sampling method shows great potential for improving the accuracy and efficiency of the MC-based simulation method for structural reliability analysis.
The discrepancy in methods for prediction may give different results.
If selection is indeed widespread across the genome, as suggested by our results, this discrepancy between methods may be expected.
29 Whenever there are discrepancies between methods, IRSN recommends synergists be used together with biochemical methods for confirmation and determination of the possible resistance mechanisms in that particular population.
The points generated in low-discrepancy sampling methods are highly ordered and exhibit much more regularity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com