Construct a simulation object for OLE analysis

Construct a simulation object for OLE analysis

Usage

setup_simulation_OLE(
  data_matrix_list,
  trial_status_col_name,
  treatment_col_name,
  outcome_col_name,
  covariates_col_name,
  method_obj_list,
  T_cross,
  true_effect,
  method_description,
  alpha = 0.05
)

Arguments

data_matrix_list

List of simulated data frames.

trial_status_col_name

Name of the trial status column.

treatment_col_name

Name of the treatment column.

outcome_col_name

Character vector of outcome column names.

covariates_col_name

Character vector of covariate column names.

method_obj_list

List of method objects to evaluate.

T_cross

Numeric crossover time point.

true_effect

Numeric vector of true treatment effects.

method_description

Character vector of method labels, one per method in `method_obj_list`.

alpha

Significance level.

Value

An object of class `simulation_OLE_obj`.

Examples

setup_simulation_OLE(
  data_matrix_list = list(SyntheticData),
  trial_status_col_name = "S",
  treatment_col_name = "A",
  outcome_col_name = c("y1", "y2", "y3", "y4"),
  covariates_col_name = c("x1", "x2", "x3", "x4", "x5"),
  method_obj_list = list(setup_method_DID(
    method_name = "IPW",
    bootstrap_flag = TRUE,
    bootstrap_obj = setup_bootstrap(),
    model_form_piS = "S ~ x1 + x2 + x3 + x4 + x5",
    model_form_piA = "A ~ x1 + x2 + x3 + x4 + x5"
  )),
  T_cross = 2,
  true_effect = c(0, 0),
  method_description = "IPW, DID"
)