prepare_trans_matrix: Title This function embeds the all-cause mortality...

In CEAmarkov: Cost-Effectiveness Analysis using Markov Models

Description

Title This function embeds the all-cause mortality probabilities in the transition matrices

Usage

prepare_trans_matrix(trans_matrix_array, prob_of_dying_vector_array,
  cycle_length)

Arguments

trans_matrix_array	transition matrices without the all-cause mortality probabilities
prob_of_dying_vector_array	table containing the all-cause mortality probabilities
cycle_length	cycle length in years

Value

trans_matrix_array

Examples

prob_vec<-extract_prob(initial_age=45,selected_country='Ethiopia',time_horizon=NULL,
gender = 'Female',selected_year=2015,cycle_length = (1/12),prob_data = sample_data)

drug_arm_5_years<-matrix(data = c(0,0.029,0.087*0.59,0,0,0.1,0,0.261*0.59,
0,0,0,0,0,0.325,0,0,0,0,1,0,0,0,0,0,1),nrow = 5,ncol = 5,byrow = TRUE)

both_arms_after_20_years<-matrix(data = c(0,0,0,0,0,0.1,0,0.261,0,0,0,0,
0,0.325,0,0,0,0,1,0,0,0,0,0,1),nrow = 5,ncol = 5,byrow = TRUE)

after_5_years_drug_arm_no_drug_arm_5<-matrix(data = c(0,0.029,0.087,0,0,
0.1,0,0.261,0,0,0,0,0,0.325,0,0,0,0,1,0,0,0,0,0,1),nrow = 5,ncol = 5,byrow = TRUE)

drug_arm_5_years<-change_current_prob_to_cycle_prob(drug_arm_5_years,1,(1/12))
both_arms_after_20_years<-change_current_prob_to_cycle_prob(both_arms_after_20_years,1,(1/12))

drug_arm<-array(c(replicate(n=5*12,drug_arm_5_years),replicate(n=15*12,
after_5_years_drug_arm_no_drug_arm_5),replicate(n=40*12,
both_arms_after_20_years)),dim = c(5,5,60*12))

up_mat<-prepare_trans_matrix(drug_arm,prob_vec,(1/12))

CEAmarkov documentation built on May 1, 2019, 6:49 p.m.