This function provides an estimate of the Average Treatment Effect (ATE) using outcomes corrected for unmeasured confounding via a sensitivity function.
Arguments in the ellipsis are 'keyword arguments' and are passed to the sensitivity function `sf`.
Arguments
- trt_model
The treatment model object as a formula or fitted glm.
- outcome
The name of the outcome variable.
- method
The method to use for sensitivity analysis. Currently, "Li" and "Bayesian" are supported.
- data
A data frame containing the exposure, outcome, and confounder variables.
- ...
Additional arguments to be passed to the sensitivity function.