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In BCEA: Bayesian Cost Effectiveness Analysis
Cost-effectiveness acceptability curve
The Cost-Effectiveness Acceptability Curve (CEAC) estimates the probability of cost-effectiveness, for different willingness to pay thresholds. The CEAC is used to evaluate the uncertainty associated with the decision-making process, since it quantifies the degree to which a treatment is preferred. This is measured in terms of the difference in utilities, normally the incremental benefit. Effectively, the CEAC represents the proportion of simulations in which $t=1$ is associated with a higher utility than $t=0$.
The following graph shows the cost-effectiveness acceptability curve (CEAC). The CEAC represents the proportion of 'potential futures' in which the reference intervention is estimated to be more cost-effective than the comparator. Thus, it can be interpreted as the 'probability of cost-effectiveness'.
ceac.plot(m)
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BCEA documentation built on Nov. 25, 2023, 5:08 p.m.
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Cost-effectiveness acceptability curve
The Cost-Effectiveness Acceptability Curve (CEAC) estimates the probability of cost-effectiveness, for different willingness to pay thresholds. The CEAC is used to evaluate the uncertainty associated with the decision-making process, since it quantifies the degree to which a treatment is preferred. This is measured in terms of the difference in utilities, normally the incremental benefit. Effectively, the CEAC represents the proportion of simulations in which $t=1$ is associated with a higher utility than $t=0$.
The following graph shows the cost-effectiveness acceptability curve (CEAC). The CEAC represents the proportion of 'potential futures' in which the reference intervention is estimated to be more cost-effective than the comparator. Thus, it can be interpreted as the 'probability of cost-effectiveness'.
ceac.plot(m)
Try the BCEA package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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