MDMA (version 2.0.0)

CEA: Cost-effectiveness analysis

Description

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

Usage

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

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".

Author

Mathijs Deen

Examples

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