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Hothorn et al. [13] introduced a statistical framework for simultaneous inference in general parametric models, which can be applied to a broad range of parametric models including ANOVA models.
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Despite the remarkable stability of the optimum cut-off thresholds as well as of sensitivities and specificities obtained by the parametric LR method over a broad range of P(D), the mean estimates of the logistic regression analyses (α0 and α1) nevertheless are somewhat dependent on P(D), and this dependence even remains after proper correction.
The results of the present parametric study can be used for a broad range of applications where effective stabilization of metal oxide NPs in organic solvents is desired.
In this paper a comprehensive series of analyses is used to examine the parametric sensitivity of the pile response for a broad range of soil-pile systems and magnitudes of lateral spreading displacement.
Such a parametric description will generally be beneficial for the design of a broad range of microfluidic bioreactors used for, e.g., cell culturing and analysis and in feeding bio-arrays.
The full equations for the reduced order model are given in the Additional file 1. Next, we conducted two parametric studies to verify that the system dynamics are monostable for a broad range of biologically realistic parameter values.
The proposed non-parametric method based on bootstrapping has practical running time, and achieves robust performance over a broad range of technologies, number of replicates, sequencing depths, and minimum fold change thresholds.
Most offer a broad range of prices.
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