2 papers
cs.LG2025
Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring
Yuxin Wang, Dennis Frauen, Jonas Schweisthal +2
Dropout is common in clinical studies, with up to half of patients leaving early due to side effects or other reasons. When dropout is informative (i.e., dependent on survival time…
cs.LG2025
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects
Maresa Schröder, Justin Hartenstein, Stefan Feuerriegel
The average treatment effect (ATE) is widely used to evaluate the effectiveness of drugs and other medical interventions. In safety-critical applications like medicine, reliable in…