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Summary statistics of the incremental cost-effectiveness plane.

summary_ice.Rd

This function computes the probability that the probabilistic outcome is in each of the quadrants.

Usage

summary_ice(df, e_int, e_comp, c_int, c_comp)

Arguments

df

a dataframe.

e_int

character. Name of variable of the dataframe containing total effects of the intervention strategy.

e_comp

character. Name of variable of the dataframe containing total effects of the comparator strategy.

c_int

character. Name of variable of the dataframe containing total costs of the intervention strategy.

c_comp

character. Name of variable of the dataframe containing total costs of the comparator strategy.

Value

A dataframe.

Examples

# Generating statistics of the incremental cost-effectiveness plane using the example data.
data(df_pa)
summary_ice(df = df_pa,
            e_int = "t_qaly_d_int",
            e_comp = "t_qaly_d_comp",
            c_int = "t_costs_d_int",
            c_comp = "t_costs_d_comp"
            )
#>                                     Quadrant Percentage
#> 1 NorthEast (more effective, more expensive)        99%
#> 2 SouthEast (more effective, less expensive)         0%
#> 3 NorthWest (less effective, more expensive)         1%
#> 4 SouthWest (less effective, less expensive)         0%