most citedOn the Validity of Covariate Adjustment for Estimating Causal Effects

89 citations · 190 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI201252 cited

What Counterfactuals Can Be Tested

Ilya Shpitser, Judea Pearl

Counterfactual statements, e.g., "my headache would be gone had I taken an aspirin" are central to scientific discourse, and are formally interpreted as statements derived from "al…

stat.ME201242 cited

Effects of Treatment on the Treated: Identification and Generalization

Ilya Shpitser, Judea Pearl

Many applications of causal analysis call for assessing, retrospectively, the effect of withholding an action that has in fact been implemented. This counterfactual quantity, somet…

math.ST20122 cited

Counterfactual Graphical Models for Longitudinal Mediation Analysis with Unobserved Confounding

Ilya Shpitser

Questions concerning mediated causal effects are of great interest in psychology, cognitive science, medicine, social science, public health, and many other disciplines. For instan…

stat.ME201289 cited

On the Validity of Covariate Adjustment for Estimating Causal Effects

Ilya Shpitser, Tyler VanderWeele, James M. Robins

Identifying effects of actions (treatments) on outcome variables from observational data and causal assumptions is a fundamental problem in causal inference. This identification is…

cs.LG20125 cited

An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models

Ilya Shpitser, Thomas S. Richardson, James M. Robins

Probabilistic inference in graphical models is the task of computing marginal and conditional densities of interest from a factorized representation of a joint probability distribu…