summary_results_det: Deterministic results for a specific treatment

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

Deterministic results for a specific treatment

Description

Deterministic results for a specific treatment

Usage

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

Arguments

out	The list object returned by run_sim(), or a subset of it (e.g., results[[1]][[1]]). When the full results object or a simulation list is passed, sens and sim are used to select the appropriate element.
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 or a simulation list. Defaults to 1.
sim	Integer indicating which simulation to use when out is the full results object or a simulation list. Defaults to 1.

Value

A dataframe with absolute costs, LYs, QALYs, and ICER and ICUR for each intervention

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_det(res[[1]][[1]], arm="int")
summary_results_det(res, arm="int", sens=1, sim=1)

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