Incremental Benefit (IB) Distribution Plot

Plots the distribution of the Incremental Benefit (IB) for a given value of the willingness to pay threshold.

Usage

# S3 method for bcea
ib.plot(
  he,
  comparison = NULL,
  wtp = 25000,
  bw = "bcv",
  n = 512,
  xlim = NULL,
  graph = c("base", "ggplot2"),
  ...
)

ib.plot(he, ...)

Arguments

he: A bcea object containing the results of the Bayesian modelling and the economic evaluation.
comparison: In the case of multiple interventions, specifies the one to be used in comparison with the reference. Default value of NULL forces R to consider the first non-reference intervention as the comparator. Controls which comparator is used when more than 2 interventions are present
wtp: The value of the willingness to pay threshold. Default value at 25000.
bw: Identifies the smoothing bandwidth used to construct the kernel estimation of the IB density.
n: The number of equally spaced points at which the density is to be estimated.
xlim: The limits of the plot on the x-axis.
graph: A string used to select the graphical engine to use for plotting. Should (partial-) match the two options "base" or "ggplot2". Default value is "base".
...: Additional arguments

Value

ib: A ggplot object containing the requested plot. Returned only if graph="ggplot2".

The function produces a plot of the distribution of the Incremental Benefit for a given value of the willingness to pay parameter. The dashed area indicates the positive part of the distribution (i.e. when the reference is more cost-effective than the comparator).

References

Baio G, Dawid aP (2011). “Probabilistic sensitivity analysis in health economics.” Stat. Methods Med. Res., 1--20. ISSN 1477-0334, doi:10.1177/0962280211419832 , https://pubmed.ncbi.nlm.nih.gov/21930515/.

Baio G (2013). Bayesian Methods in Health Economics. CRC.

Author

Gianluca Baio, Andrea Berardi

Examples

data("Vaccine")
he <- BCEA::bcea(eff, cost)
#> No reference selected. Defaulting to first intervention.
ib.plot(he)