summary_results_sim: Summary of PSA outputs for a treatment

In WARDEN: Workflows for Health Technology Assessments in R using Discrete EveNts

Summary of PSA outputs for a treatment

Description

Summary of PSA outputs for a treatment

Usage

summary_results_sim(out = results[[1]], arm = NULL, wtp = 50000, sens = 1)

Arguments

out	The list object returned by run_sim(), or a subset of it (e.g., results[[1]]). When the full results object is passed, sens is used to select the appropriate sensitivity analysis.
arm	The reference treatment for calculation of incremental outcomes
wtp	Willingness to pay to have INMB
sens	Integer indicating which sensitivity analysis to use when out is the full results object. Defaults to 1.

Value

A data frame with mean and 95% CI of absolute costs, LYs, QALYs, ICER and ICUR for each intervention from the PSA samples

Examples

res <- list(list(list(sensitivity_name = "", arm_list = c("int", "noint"
), total_lys = c(int = 9.04687362556945, noint = 9.04687362556945
), total_qalys = c(int = 6.20743830697466, noint = 6.18115138126336
), total_costs = c(int = 49921.6357486899, noint = 41225.2544659378
), total_lys_undisc = c(int = 10.8986618377039, noint = 10.8986618377039
), total_qalys_undisc = c(int = 7.50117621700097, noint = 7.47414569286751
), total_costs_undisc = c(int = 59831.3573929783, noint = 49293.1025437205
), c_default = c(int = 49921.6357486899, noint = 41225.2544659378
), c_default_undisc = c(int = 59831.3573929783, noint = 49293.1025437205
), q_default = c(int = 6.20743830697466, noint = 6.18115138126336
), q_default_undisc = c(int = 7.50117621700097, noint = 7.47414569286751
), merged_df = list(simulation = 1L, sensitivity = 1L))))


summary_results_sim(res[[1]], arm="int")
summary_results_sim(res, arm="int", sens=1)

WARDEN documentation built on July 23, 2026, 5:08 p.m.