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Such determinations of non-inferiority are highly dependent on the underlying assumptions, and graphical sensitivity analyses make this dependence explicit.
This posterior probability thereby quantifies the likelihood of various magnitudes of therapeutic benefit rather than the single null magnitude to which the p value refers, and it lends itself to graphical sensitivity analyses with respect to its underlying assumptions.
We also conducted a graphical sensitivity analysis, based on moderate and strong studies.
Supplemental Material, Figure S2, shows the results of the graphical sensitivity analysis based on moderate and strong studies, with the findings regarding different factors being largely comparable to the main analysis.
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Finally, numerical examples with its graphical presentation and sensitivity analysis of the key parameters are presented to illustrate more insights of the model.
In this study, a comprehensive analysis of the input parameters of the dynamic wave model was performed through field applications in natural rivers and routing experiments in artificial channels using the graphical multi-parametric sensitivity analysis (GMPSA).
The ROC curve is a graphical plot of sensitivity vs. 1-specificity at all discrimination threshold levels.
An ROC curve is a graphical plot of sensitivity against specificity.
Alternatively, the graphical presentation of sensitivity levels might have influenced interpretation [ 43].
Abbreviations: Receiver operating characteristic (ROC) curve is the graphical plot of sensitivity and 1-specificity.
There are several ways to reason about and present uncertainty; from simple dose-range tables or graphical illustrations of sensitivity, to more integrated probabilistic analyses.
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