sand_or_ace: Calculates standard error of Average causal effect

In ui: Uncertainty Intervals and Sensitivity Analysis for Missing Data

Calculates standard error of Average causal effect

Description

This is a support function for ui_causal and calculates standard error of Average causal effect for the outcome regression estimator.

Usage

sand_or_ace(X, y, z, BetaOLSy0, BetaOLSy1, NaivEst, N, p)

Arguments

X	Covariate matrix.
y	Outcome vector.
z	missingness indicator.
BetaOLSy0	Coefficients from non-treated regression.
BetaOLSy1	Coefficients from treated regression.
NaivEst	Naiv estimates.
N	Total number.
p	Number of covariates outcome regression.

ui documentation built on June 25, 2026, 5:09 p.m.