two_phase_eif: Two-phase sampling adjusted, un-centered efficient influence...

In nhejazi/medoutcon: Efficient Natural and Interventional Causal Mediation Analysis

Two-phase sampling adjusted, un-centered efficient influence function

Description

Adjust the efficient influence function to account for the use of two-phase sampling designs in measuring the mediators.

Usage

two_phase_eif(R, two_phase_weights, eif, eif_predictions, plugin_est)

Arguments

R	A logical vector indicating whether an sampled observation's mediators were measured using a two-phase sampling design.
two_phase_weights	A numeric vector of known observation-level weights corresponding to the inverse probability of the mediators being measured. These weights should only be provided if the two-phase sampling indicator R is specified.
eif	A numeric vector of the efficient influence function.
eif_predictions	A numeric vector of the predicted efficient influence function, conditioning on the mediator being measured.
plugin_est	A numeric corresponding to the plug-in estimate for the given contrast.

Value

An un-centered efficeint influence function that accounts for the two-phase sampling design.

nhejazi/medoutcon documentation built on July 16, 2025, 5:38 p.m.