3 papers
stat.ME2026
Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
David Kim, Yongchang Su, Jake Bowers +1
What proportion of treated units actually benefited from an experimental intervention? What is the median or the largest individual treatment effect? This paper develops methods fo…
stat.ME2025
Finite-Sample Valid Randomization Tests for Monotone Spillover Effects
Shunzhuang Huang, Xinran Li, Panos Toulis
Randomization tests have gained popularity for causal inference under network interference because they are finite-sample valid with minimal assumptions. However, existing procedur…
stat.ME2024
Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies
Dongxiao Wu, Xinran Li
Causal conclusions from observational studies may be sensitive to unmeasured confounding. In such cases, a sensitivity analysis is often conducted, which tries to infer the minimum…