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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.

See also

Author

Gianluca Baio

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