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Signals were recorded with the amplifiers (10,000 times amplification) of the Leadpoint system (Medtronic), using a bootstrapping principle and were analog bandpass filtered between 500 and 5,000 Hz (−3 dB; 12 dB/oct).
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Velocities were calculated by using a bootstrapping procedure (mean±s.d.; N=1,000 bootstrap estimates from re-sampling with replacement).
The model was then internally validated using a bootstrapping technique.
These difference waveforms were compared using a bootstrapping procedure.
The mediation model was tested using a bootstrapping method.
The robustness of the interactions, which were observed among SNPs with stronger functional evidence, was assessed using a bootstrap approach, and correction for multiple testing based on the false discovery rate (FDR) principle.
Field-significance was tested using a bootstrap approach.
The Probability Density Function (PDF) of those coefficients was calculated using a bootstrap technique.
Optimal smoothing penalties are selected using cross-validation, and model uncertainty is quantified using a bootstrap re-sampling procedure.
Generate state-level alignments on the training data set using a bootstrap model set.
The confidence intervals were computed from the several instantiations using a bootstrap method [35].
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