gcomp_responder: G-computation Analysis for a Single Visit

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

G-computation Analysis for a Single Visit

Description

Performs logistic regression and estimates marginal effects for binary outcomes.

Usage

gcomp_responder(
  data,
  vars,
  reference_levels = NULL,
  var_method = "Ge",
  type = "HC0",
  contrast = "diff"
)

Arguments

data	A data.frame with one visit of data.
vars	A list containing group, outcome, covariates, and visit.
reference_levels	Optional vector specifying reference level(s) of the treatment factor.
var_method	Marginal variance estimation method (default: "Ge").
type	Type of robust variance estimator (default: "HC0").
contrast	Type of contrast to compute (default: "diff").

Value

A named list containing estimates and standard errors for treatment comparisons and within-arm means.

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