Summary statistics of the incremental cost-effectiveness plane.

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

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)
plot_ice(df = df_pa,
         inc_e = "inc_qaly",
         inc_c = "inc_costs")
#> Error in plot_ice(df = df_pa, inc_e = "inc_qaly", inc_c = "inc_costs"): unused arguments (inc_e = "inc_qaly", inc_c = "inc_costs")