G-Transformer for Conditional Average Potential Outcome Estimation over
Time
G-Transformer for Conditional Average Potential Outcome Estimation over
Time
Estimating potential outcomes for treatments over time based on observational data is important for personalized decision-making in medicine. Yet, existing neural methods for this task suffer from either (a) bias or (b) large variance. In order to address both limitations, we introduce the G-transformer (GT). Our GT is a novel, …