BCEA (version 1.0)

plot.bcea: Summary plot of the health economic analysis

Description

Plots in a single graph the Cost-Effectiveness plane, the Expected Incremental Benefit, the CEAC and the EVPI

Usage

## S3 method for class 'bcea':
plot(x,...)

Arguments

x

A "bcea" object containing the results of the Bayesian modelling and the economic evaluation

...

Arguments to be passed to methods, such as graphical parameters (see 'par')

Value

• The function produces a plot with four graphical summaries of the health economic evaluation

References

Baio, G., Dawid, A. P. (2011). Probabilistic Sensitivity Analysis in Health Economics. Statistical Methods in Medical Research doi:10.1177/0962280211419832.

Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall, London

See Also

bcea, ceplane.plot, ceac.plot, evi.plot

Examples

# See Baio G., Dawid A.P. (2011) for a detailed description of the 
# Bayesian model and economic problem
#
# Load the processed results of the MCMC simulation model
data(Vaccine)
# 
# Runs the health economic evaluation using BCEA
m <- bcea(e=e,c=c,          # defines the variables of 
                            #  effectiveness and cost
      ref=2,                # selects the 2nd row of (e,c) 
                            #  as containing the reference intervention
      interventions=treats, # defines the labels to be associated 
                            #  with each intervention
      Kmax=50000            # maximum value possible for the willingness 
                            #  to pay threshold; implies that k is chosen 
                            #  in a grid from the interval (0,Kmax)
)
#
# Plots the summary plots for the "bcea" object m
plot(m)