Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes
arXiv:2610.20893v1 Announce Type: new Abstract: Estimating causal effects on right-censored time-to-event outcomes is challenging under unmeasured confounding. Proximal causal inference addresses unmeasured confounding through proxy variables, but existing proximal survival methods rely largely on…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-16 04:00 · arXiv stat.ML
Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes