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Causal Inference: Theory and Methods
Sat, September 1, 4:00 to 5:30pm, Marriott, SimmonsSession Submission Type: Created Panel
Session Description
This session contains papers making theoretical advancements in methods for causal inference.
Sub Unit
Individual Presentations
A Unified Theory of Covariate Adjustment for Design-Based Inference - Joel A. Middleton, UC Berkeley
Causal Inference Through the Method of Direct Estimation - Marc Thomas Ratkovic, Princeton University; Dustin Halliday Tingley, Harvard University
Estimating Causal Moderation with Random Treatments and Non-Random Moderators - Kirk Bansak, Stanford University
Intrinsic Attrition Bias and De-Biased Estimation in Survival Analysis - Hiroto Katsumata, Gakushuin University and MIT