gcomp_responder_multi: G-computation for a Binary Outcome at Multiple Visits

In rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package

G-computation for a Binary Outcome at Multiple Visits

Description

Applies gcomp_responder() separately for each unique visit in the data.

Usage

gcomp_responder_multi(data, vars, reference_levels = NULL, ...)

Arguments

data	A data.frame containing multiple visits.
vars	A list specifying analysis variables.
reference_levels	Optional reference level for the treatment variable.
...	Additional arguments passed to gcomp_responder().

Value

A named list of estimates for each visit and treatment group.

Examples

library(dplyr)
library(rbmi)
library(rbmiUtils)

data("ADMI")

ADMI <- ADMI |>
  mutate(
    TRT = factor(TRT, levels = c("Placebo", "Drug A")),
    STRATA = factor(STRATA),
    REGION = factor(REGION)
  )

# Note: method must match the original used for imputation
method <- method_bayes(
  n_samples = 100,
  control = control_bayes(warmup = 20, thin = 2)
)

vars_binary <- set_vars(
  subjid = "USUBJID",
  visit = "AVISIT",
  group = "TRT",
  outcome = "CRIT1FLN",
  covariates = c("BASE", "STRATA", "REGION")
)

ana_obj_prop <- analyse_mi_data(
  data = ADMI,
  vars = vars_binary,
  method = method,
  fun = gcomp_responder_multi,
  reference_levels = "Placebo",
  contrast = "diff",
  var_method = "Ge",
  type = "HC0"
)

pool(ana_obj_prop)

rbmiUtils documentation built on June 8, 2025, 11:07 a.m.