179 citations · 398 across the 42 of their papers we have counts for
5 papers · 1 filter
Doubly Robust Adaptive LASSO for Effect Modifier Discovery
Asma Bahamyirou, Mireille E. Schnitzer, Edward H. Kennedy +2
Effect modification occurs when the effect of the treatment on an outcome differs according to the level of a third variable (the effect modifier, EM). A natural way to assess effe…
Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds
Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
In domains such as criminal justice, medicine, and social welfare, decision makers increasingly have access to algorithmic Risk Assessment Instruments (RAIs). RAIs estimate the ris…
Discussion of "On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning"
Edward H. Kennedy, Sivaraman Balakrishnan, Larry A. Wasserman
We congratulate the authors on their exciting paper, which introduces a novel idea for assessing the estimation bias in causal estimates. Doubly robust estimators are now part of t…
Counterfactual Predictions under Runtime Confounding
Amanda Coston, Edward H. Kennedy, Alexandra Chouldechova
Algorithms are commonly used to predict outcomes under a particular decision or intervention, such as predicting whether an offender will succeed on parole if placed under minimal…
Towards optimal doubly robust estimation of heterogeneous causal effects
Edward H. Kennedy
Heterogeneous effect estimation plays a crucial role in causal inference, with applications across medicine and social science. Many methods for estimating conditional average trea…