Set up a primary analysis with external control borrowing

Bundles data, column mappings, and a method object into an analysis object ready to be passed to run_analysis.

Usage

setup_analysis_primary(
  data,
  trial_status_col_name,
  treatment_col_name,
  outcome_col_name,
  covariates_col_name,
  method_weighting_obj,
  alpha = 0.05
)

Arguments

data

A data frame containing all subject-level data.

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_weighting_obj

A method object created by ec_ipw or ec_aipw.

alpha

Significance level (default 0.05).

Value

An object of class analysis_primary_obj, to be passed to run_analysis.

Details

Available primary methods:

ec_ipw

Inverse probability weighting.

ec_aipw

Augmented inverse probability weighting (doubly robust).

See also

run_analysis, setup_analysis_OLE

Examples

method <- ec_ipw(ps_formula = "S ~ x1 + x2 + x3 + x4 + x5")
setup_analysis_primary(
  data = SyntheticData,
  trial_status_col_name = "S",
  treatment_col_name = "A",
  outcome_col_name = c("y1", "y2"),
  covariates_col_name = c("x1", "x2", "x3", "x4", "x5"),
  method_weighting_obj = method
)