multi.ce {BCEA}R Documentation

Cost-effectiveness analysis with multiple comparison

Description

Computes and plots the probability that each of the n_int interventions being analysed is the most cost-effective and the cost-effectiveness acceptability frontier

Usage

multi.ce(he)

Arguments

he

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

Value

m.ce

A matrix including the probability that each intervention is the most cost-effective for all values of the willingness to pay parameter

ceaf

A vector containing the cost-effectiveness acceptability frontier

Author(s)

Gianluca Baio

See Also

bcea, mce.plot, ceaf.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)
      plot=FALSE            # inhibits graphical output
)
#
mce <- multi.ce(m           # uses the results of the economic analysis 
)

[Package BCEA version 2.3-1.1 Index]