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By means of the cone of uncertainty, which is derived using the wild bootstrap, a weight is thereafter assigned to each edge.
In this proposed curvature estimation algorithm, we evaluate line integrals over a window whose size is adaptively determined using the wild bootstrap procedure [15].
Asymptotic intervals will be derived as well as intervals using the Wild Bootstrap approach.
A Gompertz growth curve of the form VFM age) = α*exp(−exp(β − γ × age) + δ × age) [Gompertz, 1825] was fit voxel-wise to the 198 (81 female) VFM datasets (Table II) using the wild bootstrap [Efron, 1979] with 1000 residual resamples.
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Corresponding to these results we recommend to use the Wild Bootstrap approach with standard normally distributed weights for the selection of biomarkers in early diagnostic trials with the AUC as selection criterion.
We also calculate p-values for our regressors of interest using the wild cluster bootstrap-t procedure advocated by Cameron et al. (2008).
The one-sided 97.5 % confidence intervals for all biomarkers using the MCP, the Logit, and the Wild Bootstrap approach are displayed in Figure 6.
(5) The wild bootstrap samples are constructed by adding the bootstrap residuals : (16) We use to denote a wild bootstrap dataset.
In this study, we further optimized the DTI application of the wild bootstrap method for typical clinical applications.
(7) We can then obtain bootstrap estimates from the wild bootstrap datasets.
The wild bootstrap samples are constructed by adding the bootstrap residuals : (16).
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