University of Westminster
Comparing Machine Learning Methods for Estimating Heterogeneous Treatment Effects in Randomized Trials: A Comprehensive Simulation Study
This study compares 18 machine learning methods for estimating heterogeneous treatment effects in randomized controlled trials, using simulations calibrated to two large-scale educational experiments. We evaluate performance across continuous and binary outcomes with diverse and realistic… more →