2 papers
stat.ME2025
Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies
Ying Jin, José Zubizarreta
Causal inference starts with a simple idea: compare groups that differ by treatment, not much else. Traditionally, similar groups are constructed using only observed covariates; ho…
stat.ME2025
Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference
Carlos Cinelli, Avi Feller, Guido Imbens +3
Causality and causal inference have emerged as core research areas at the interface of modern statistics and domains including biomedical sciences, social sciences, computer scienc…