Run Simulations for Estimating ATE — run_simulations • margot

This function simulates data and estimates the Average Treatment Effect (ATE) using different methods under a specified causal model.

Usage

run_simulations(
  num_simulations,
  N,
  prob_L1,
  A_on_Y,
  L_on_A,
  L_on_Y,
  method = "ps"
)

Arguments

num_simulations: Integer, number of simulations to run.
N: Integer, sample size for each simulation.
prob_L1: Double, probability parameter for generating L1.
A_on_Y: Double, effect size of A on Y.
L_on_A: Double, effect size of L on A.
L_on_Y: Double, effect size of L on Y.
method: Character, method for IPTW and DR adjustment ("ps" or other).

Value

A tibble containing the estimated ATEs and their confidence intervals for each method.