CEA: Cost-effectiveness analysis

In MDMA: Mathijs Deen's Miscellaneous Auxiliaries

Cost-effectiveness analysis

Description

Perform a cost-effectiveness analysis. Or a cost-utility analysis.

Usage

CEA(data, group, cost, effect, B = 5000, currency = "euro")

Arguments

data	a data.frame with rows representing observations in for example a cost-effectiveness trial.
group	group variable in data. Should contain two levels.
cost	cost variable in data.
effect	effect variable in data.
B	number of bootstrap samples.
currency	currency unit. See ?currency2unicode for options that will return the a Unicode symbol that will be used in plot.CEA and plot.CEAC. If the parameter is not listed, the parameter itself will be used. This makes it possible to input a custom Unicode hex (e.g., "\u00Ae"). Defaults to "euro".

Value

CEA returns a list (class CEA) with the following elements:

stats	a data.frame containing the bootstrap statistics: estimates for the difference in costs (diffC), the difference in effects(diffE), and the ICER as a ratio of these two.
diff.C.true	Observed difference in costs.
diff.E.true	Observed difference in effects.
ICER.true	Observed incremental cost-effectiveness ratio.
gr1	First level of group variable.
gr2	Second level of group variable.
currencyUC	The currency. Either in raw form (parameter currency) or as a Unicode hex.

Author(s)

Mathijs Deen

Examples

CEA(gnomes, insulationMethod, Costs, diffHATS, 5000, "acorns") |>
  plot()

MDMA documentation built on April 3, 2025, 11:10 p.m.