True Estimation of ATE

In ATE.ERROR: Estimating ATE with Misclassified Outcomes and Mismeasured Covariates

knitr::opts_chunk$set(
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Introduction

This vignette demonstrates the usage of the True_Estimation function in the ATE.ERROR package. The True_Estimation function provides a method for estimating the Average Treatment Effect (ATE) using the generated values for X and Y.

Generating Simulated Data

First, we generate our simulated data using the data(Simulated_data) syntax.

library(ATE.ERROR)
set.seed(1)
data(Simulated_data)
Y <- Simulated_data$Y
A <- Simulated_data$T
Z <- Simulated_data$Z
X <- Simulated_data$X

True Estimation of ATE

Now we use the True_Estimation function.

True_ATE <- True_Estimation(Y, A, Z, X)
print(True_ATE)

The True_Estimation function calculates the ATE by considering the true values of X and Y and adjusting for the misclassification probabilities.

ATE.ERROR documentation built on Sept. 11, 2024, 9:35 p.m.