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Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent event

Source: R/run_sim_exp_covar.R
run_sim_exp_covar.Rd

Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent event

Usage

run_sim_exp_covar(n_iter, d_params, m_params, seed)

Arguments

n_iter

Positive integer value, number of trials to be simulated.

d_params

List of data parameters as used in sim_dat_one_trial_exp_nocovar.

m_params

List of model parameters as used in fit_single_exp_nocovar.

seed

Numeric value, seed for reproducibility.

Value

A list of length 3, containing objects call ocs, d_params, m_params, where ocs is a tibble containing averaged parameter estimates and operating characteristics, and d_params and m_params are the objects supplied to the function.

See also

run_sim_exp_nocovar()

Examples

d_params_covar <- list(
  n = 1000,        
  nt = 500,       
  prob_X1 = 0.4, 
  prob_ice_X1 = 0.5, 
  prob_ice_X0 = 0.2,
  fu_max = 336L,
  prop_cens = 0.15,       
  T0T_rate = 0.2,     
  T0N_rate = 0.2,     
  T1T_rate = 0.15,     
  T1N_rate = 0.1
 )
m_params_covar <- list(
  tg = 48,
  p = 2, 
  prior_delta = matrix(
    c(0, 5, 0, 5),
    nrow = 2, byrow = TRUE),
  prior_0N = c(1.5, 5),
  prior_1N = c(1.5, 5),
  prior_0T = c(1.5, 5),
  prior_1T = c(1.5, 5),
  t_grid =  seq(7, 7 * 48, 7) / 30,
  chains = 2,
  n_iter = 3000,
  warmup = 1500,
  cores = 2,
  open_progress = FALSE,
  show_messages = TRUE
)
# \donttest{ 
dat_ocs <- run_sim_exp_covar(
  n_iter = 3, 
  d_params = d_params_covar, 
  m_params = m_params_covar, 
  seed = 12
  )
print(dat_ocs)
# }