2 papers
stat.ME2026
Propensity Score Propagation: A General Framework for Design-Based Inference with Unknown Propensity Scores
Siyu Heng, Yanxin Shen, Zijian Guo
Design-based inference, also known as randomization-based or finite-population inference, provides a principled framework for trustworthy statistical inference. It attributes rando…
stat.ME2026
Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies
Jianan Zhu, Jeffrey Zhang, Zijian Guo +1
Matching is a widely used causal inference design that aims to approximate a randomized experiment using observational data by forming matched sets of treated and control units bas…