2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Sensitivity analysis for incremental effects, with application to a study of victimization & offending
Shuying Shen, Valerio Bacak, Edward H. Kennedy
Sensitivity analysis for unmeasured confounding under incremental propensity score interventions remains relatively underdeveloped. Incremental interventions define stochastic trea…
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…
Incremental effects for continuous exposures
Kyle Schindl, Shuying Shen, Edward H. Kennedy
Causal inference problems often involve continuous treatments, such as dose, duration, or frequency. However, identifying and estimating standard dose-response estimands requires t…
Counterfactual Density Estimation using Kernel Stein Discrepancies
Diego Martinez-Taboada, Edward H. Kennedy
Causal effects are usually studied in terms of the means of counterfactual distributions, which may be insufficient in many scenarios. Given a class of densities known up to normal…