rbmiUtils (version 0.1.8)

gcomp_responder_multi: 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, ...)

Value

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

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().

Examples

# \donttest{
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)
# }