define_parameters_psa: Define parameter lists for deterministic sensitivity analysis

In packDAMipd: Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data

Description

Define parameter lists for deterministic sensitivity analysis

Usage

define_parameters_psa(base_param_list, sample_list)

Arguments

base_param_list	list of parameters that used to define Markov model
sample_list	list of parameter values with their sampling distributions

Value

table for probability sensitivity analysis

Examples

param_list <- define_parameters(
  cost_zido = 2278, cost_direct_med_A = 1701,
  cost_comm_care_A = 1055, cost_direct_med_B = 1774,
  cost_comm_care_B = 1278,
  cost_direct_med_C = 6948, cost_comm_care_C = 2059,
  tpAtoA = 1251 / (1251 + 483),
  tpAtoB = 350 / (350 + 1384), tpAtoC = 116 / (116 + 1618),
  tpAtoD = 17 / (17 + 1717),
  tpBtoB = 731 / (731 + 527), tpBtoC = 512 / (512 + 746),
  tpBtoD = 15 / (15 + 1243),
  tpCtoC = 1312 / (1312 + 437), tpCtoD = 437 / (437 + 1312), tpDtoD = 1,
  cost_health_A = "cost_direct_med_A+ cost_comm_care_A",
  cost_health_B = "cost_direct_med_B+ cost_comm_care_B",
  cost_health_C = "cost_direct_med_C+ cost_comm_care_C",
  cost_drug = "cost_zido"
)
sample_list <- define_parameters(cost_zido = "gamma(mean = 2756,
sd = sqrt(2756))")
param_table <- define_parameters_psa(param_list, sample_list)

packDAMipd documentation built on March 3, 2021, 5:07 p.m.