R/Simulated_data.R

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

#' Simulated Data
#'
#' A dataset containing simulated data generated by the generate_data function.
#' This data includes misclassified outcome Y*, treatment assignment T,
#' and covariates X and Z.
#'
#' @format A data frame with 5000 rows and 6 variables:
#' \describe{
#'   \item{X}{a numeric vector generated from a standard normal distribution (mean = 0, standard deviation = 1)}
#'   \item{X_star}{a numeric vector where X_star is equal to X plus a random error. The random error is generated from a normal distribution with mean 0 and standard deviation 0.1}
#'   \item{Y}{a numeric vector generated from a Bernoulli distribution with a probability depending on T, Z, and X}
#'   \item{Y_star}{a numeric vector where Y_star is generated from a binomial distribution depending on Y with probabilities 0.8 if Y equals 1 and 0.2 if Y equals 0}
#'   \item{T}{a numeric vector generated from a binomial distribution with probability calculated using the logistic function of the sum of 0.2, Z, and X}
#'   \item{Z}{a numeric vector generated from a standard normal distribution (mean = 0, standard deviation = 1)}
#' }
#' @source Shu D, Yi GY (2019). Weighted causal inference methods with mismeasured covariates and misclassified outcomes. Statistics in Medicine. 38:1835-1854. \doi{10.1002/sim.8073}
"Simulated_data"