multi.ce {BCEA} | R Documentation |
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.
## S3 method for class 'bcea' multi.ce(he)
he |
A |
Original bcea
object (list) of class "pairwise" with additional:
p_best_interv |
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 |
Gianluca Baio
# 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 ceac.plot(mce) ceaf.plot(mce)