Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data

Matthew Pryce, Karla Diaz-Ordaz, Ruth H. Keogh +1

When estimating heterogeneous treatment effects, missing outcome data can complicate treatment effect estimation, causing certain subgroups of the population to be poorly represent…