Methods of Causal Effect Estimation for High-Dimensional Treatments: A Radiotherapy Simulation Study
We introduce the Causal Adaptive Lasso (CAL) for estimating treatment effects in high-dimensional radiotherapy settings. Our method addresses confounding bias in spatially embedded dose-response relationships, achieving up to four orders of magnitude improvement in MSE compared to standard voxel-based estimators while maintaining minimal bias.