2 papers
stat.ME2026
Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
Matthew Kosko, Falco J, Bargagli-Stoffi +2
Kernel methods are widely used in causal inference for tasks such as treatment effect estimation, policy evaluation, and policy learning. The bootstrap is a standard tool for uncer…
stat.ME2026
Causal Survival Analysis in Platform Trials with Non-Concurrent Controls
Antonio D'Alessandro, Samrachana Adhikari, Michele Santacatterina
Platform trials allow treatment arms to enter and exit over time while maintaining a shared control arm, yielding concurrent and non-concurrent controls (NCC). Pooling NCC is often…