contour2 {BCEA} | R Documentation |
Produces a scatterplot of the cost-effectiveness plane, with a contour-plot of the bivariate density of the differentials of cost (y-axis) and effectiveness (x-axis). Also adds the sustainability area (i.e. below the selected value of the willingness-to-pay threshold).
contour2(he, wtp=25000, xlim=NULL, ylim=NULL, comparison=NULL, graph=c("base","ggplot2"),...)
he |
A "bcea" object containing the results of the Bayesian modelling and the economic evaluation |
wtp |
The selected value of the willingness-to-pay. Default is |
xlim |
Limits on the x-axis (default= |
ylim |
Limits on the y-axis (default= |
comparison |
The comparison being plotted. Default to |
graph |
A string used to select the graphical engine to use for plotting. Should (partial-)match
the two options |
... |
Arguments to be passed to |
contour |
A ggplot item containing the requested plot. Returned only if |
Plots the cost-effectiveness plane with a scatterplot of all the simulated values from the (posterior) bivariate distribution of (Delta_e,Delta_c), the differentials of effectiveness and costs; superimposes a contour of the distribution and prints the value of the ICER, together with the sustainability area.
Gianluca Baio, Andrea Berardi
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
bcea
,
ceplane.plot
,
contour.bcea
### create the bcea object m for the smoking cessation example data(Smoking) m=bcea(e,c,ref=4,interventions=treats,Kmax=500) ### produce the plot contour2(m,wtp=200,graph="base") ### or use ggplot2 to plot multiple comparisons contour2(m,wtp=200,ICER.size=2,graph="ggplot2")