compute_evppi: Compute Expected Value of partial Perfect Information (EVPPI)

In PolicyAnalysisInc/heRoMod: Health Economic Modeling

Compute Expected Value of partial Perfect Information (EVPPI)

Description

Compute EVPPI using a linear regression metamodeling approach.

Usage

compute_evppi(x, evppi, max_wtp = 1e+05, n = 10, verbose = TRUE)

Arguments

x	Result from run_psa().
evppi	An object returned by define_evppi().
max_wtp	Maximal willingness to pay.
n	Number of WTP thresholds to estimate EVPPI (values above 10 may take significant time).
verbose	Logical variable indicating whether to display the progress of EVPPI calculations

Value

A data.frame with one row per WTP threshold

References

1. Jalal H, Alarid-Escudero F. A Gaussian Approximation Approach for Value of Information Analysis. Med Decis Making 2018; 38(2): 174-188.

PolicyAnalysisInc/heRoMod documentation built on March 23, 2024, 4:29 p.m.