sandImpACE function

Calculates standard error of Average causal effect

Calculates standard error of Average causal effect

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

sandImpACE(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.
  • Maintainer: Minna Genbaeck
  • License: GPL-2
  • Last published: 2019-11-11

Useful links