calculate_nb_mult: Calculate NMB and NHB.

In Xa4P/pacheck: Probabilistic Analysis Check Package

Calculate NMB and NHB.

Description

This function calculates the Net Monetary Benefits (NMB) and Net Health Benefits (NHB) for each strategy and the incremental NMB and NHB.

Usage

calculate_nb_mult(df, outcomes, costs, wtp)

Arguments

df	a dataframe.
outcomes	character. Vector of variable names containing the outcomes to be plotted on the x-axis. The variable names should be structured as follows: 't_qaly_d_' followed by the name of the strategy: e.g. 't_qaly_d_intervention'.
costs	character. Vector of variable names containing the costs to be plotted on the y-axis. The variable names should be structured as follows: 't_costs_d_' followed by the name of the strategy: e.g. 't_costs_d_intervention'.
wtp	numeric. Willingness-to-pay thresholds to use for NMB and NHB calculations.

Value

A dataframe containing the original data and the following variables containing the NMB and NHB for each strategy. The name of these new variables are structured as 'NMB_strategyname' and 'NHB_strategyname'

Examples

# Calculate NB's at a willingness-to-pay threshold of 80000 per unit of effects
data("df_pa")
df_pa$t_costs_d_comp2 <- df_pa$t_costs_d_comp * 1.09
df_pa$t_qaly_d_comp2 <- df_pa$t_qaly_d_comp * 1.01
calculate_nb_mult(df = df_pa,
                  outcomes = c("t_qaly_d_comp2", "t_qaly_d_int", "t_qaly_d_comp"),
                  costs = c("t_costs_d_int", "t_costs_d_comp2", "t_costs_d_comp"),
                  wtp = 50000
                  )

Xa4P/pacheck documentation built on April 14, 2025, 1:51 p.m.