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Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample: A Nonparametric Regression Approach

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Figure

Figure 1.Net benefit against single input parameter of interest forhypothetical model with 3 parameters.
Figure 2.A cubic spline, showing the piecewise construction from4 sections of cubic polynomial, each with different coefficients.
Table 1Summary of Means and Standard Deviations for Case Study Model Parameters
Table 2Partial Expected Value of Perfect Information (EVPI) Values and Timings for Case Study 1
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