Produces a table printout with some summary results of the health economic evaluation.
Usage
# S3 method for pairwise
summary(object, wtp = 25000, ...)
Arguments
- object
A
pairwise
object containing the results of the Bayesian modelling and the economic evaluation.- wtp
The value of the willingness to pay threshold used in the summary table.
- ...
Additional arguments affecting the summary produced.
Value
Prints a summary table with some information on the health economic output and synthetic information on the economic measures (EIB, CEAC, EVPI).
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.
Examples
data(Vaccine)
he <- bcea(eff, cost, interventions = treats, ref = 2)
he_multi <- multi.ce(he)
summary(he_multi)
#>
#> Cost-effectiveness analysis summary
#>
#> Intervention(s): Status Quo
#> : Vaccination
#>
#> Optimal decision: choose Status Quo for k < 20100 and Vaccination for k >= 20100
#>
#>
#> Analysis for willingness to pay parameter k = 25000
#>
#> Expected net benefit EIB CEAC ICER
#> Status Quo -36.054 NA 0.471 NA
#> Vaccination -34.826 NA 0.529 NA
#>
#> Optimal intervention (max expected net benefit) for k = 25000: Vaccination
#>
#> EVPI 2.4145