A number of methods are used to represent decision uncertainty (e.g. making choices in health: who guide to cost-effectiveness analysis edited by t. tan-torres edejer, r. baltussen, t.adam, r. hutubessy, a.acharya, d.b. Uncertainty on the cost-effectiveness plane. Costâeffectiveness plane. Briggs , A. The analysis is implemented entirely within R. It is based on The upper left quadrant reflects interventions that are more expensive and less effective, whereas the lower right quadrant reflects studies with higher effectiveness combined at lower costs. ( 1999 ) Handling uncertainty when performing ⦠The larger red dot shows the ICER and the grey area identifies the sustainability area, i.e. & Gray , A. Other therapies are more likely than not to be in the âbottom threeâ for net benefit at ⦠ceplot . PDF | BACKGROUND: Gastric cancer is a major health problem worldwide. cost-effectiveness plane has attracted much attention. The results of the Markov simulation for the different scenarios are shown in table 3. The results of any cost-effectiveness analysis can easily be displayed in this manner, directly showing the incremental costâeffec-tiveness ratio (ICER) of the new over the old treatment option, with a quick overview of ⦠Results. Grey dots show the simulated values for the joint distribution of the effectiveness and cost differentials. An R package for plotting cost-effectiveness analysis output data. # Plots the cost-effectiveness plane using base graphics ceplane.plot(m, # plots the Cost-Effectiveness plane comparison=1, # if more than 2 interventions, selects the # pairwise comparison wtp=25000, # selects the relevant willingness to pay # (default: 25,000) The function produces a plot of the cost-effectiveness acceptability curve against the discrete grid of possible values for the willingness to pay parameter. The results of the PSA were plotted in the incremental cost-effectiveness plane and cost-effectiveness acceptability curve. From Figure 3, D, F, C, and A are more likely than not to be in the top four at λ = £20,000, and it is also noteworthy that these form a fairly tight cluster on the costâeffectiveness plane (Figure 1). Cost-effectiveness analysis: base-case analysis. The function produces a plot of the cost-effectiveness plane. Cost-effectiveness Analysis (CEA): CEA is performed using the cost and QALY output of the PSA from the fourth tutorial. We then proceed to perform a cost-effectiveness analysis, including deterministic and probabilistic sensitivity anal-yses. Finally, we show how to create 2 common methods of visualizing the resultsânamely, cost-effectiveness planes and cost-effectiveness acceptability curves. 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