Bayesian Estimation of ATE Subject to Unmeasured Confounding

This function provides an estimate of the Average Treatment Effect (ATE) using Bayesian modelling.

Usage

causens_sf(trt_model, outcome, data, bootstrap = FALSE, B = 1000, ...)

trt_model: A model formula specifying the treatment model.
outcome: The name of the outcome variable.
data: A data frame containing the exposure, outcome, and confounder variables.
bootstrap: A logical indicating whether to perform bootstrap estimation of the 95% confidence interval.
B: If the bootstrap argument is TRUE, the number of bootstrap samples to generate.
...: Additional arguments to be passed to the sensitivity function.

A point estimate of the corrected ATE.