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In addition to the CEAC, we can also visualise the uncertainty in the decision-making process using the Cost-Effectiveness Acceptability Frontier (CEAF). The frontier is defined as the maximum value of the probability of cost-effectiveness among all comparators. It is an indication of the uncertainty associated with choosing the cost effective intervention. In other terms, higher frontier values correspond to lower decision uncertainty.
n.ints <- m$n_comparators if (n.ints == 2) { graph <- "base" pos <- c(1, 1) } else { graph <- "ggplot2" pos <- TRUE } ceaf.plot(multi.ce(m), graph = graph)
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