AI RESEARCH
Nonparametric Regression Discontinuity Designs with Survival Outcomes
arXiv CS.LG
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ArXi:2604.03502v1 Announce Type: cross Quasi-experimental evaluations are central for generating real-world causal evidence and complementing insights from randomized trials. The regression discontinuity design (RDD) is a quasi-experimental design that can be used to estimate the causal effect of treatments that are assigned based on a running variable crossing a threshold. Such threshold-based rules are ubiquitous in healthcare, where predictive and prognostic biomarkers frequently guide treatment decisions.