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Improving Experimental Inference: Bias, Power, and Heterogeneity
Sun, September 6, 10:00 to 11:30am EDT (10:00 to 11:30am EDT), TBASession Submission Type: Created Panel
Sub Unit
Individual Presentations
(Paper) Evaluating Bias and Precision of Covariate Adjustment in Randomized Experiments - Jiawei Fu, Duke University; Donald P. Green, Columbia University
(Paper) Power Gains with Covariates in Experiments: When and How to Adjust for Moderators? - Andreas Videbæk Jensen, Aarhus University
(Paper) Randomization Inference with Sample Attrition - Zeyang (Arthur) Yu, Princeton University
(Paper) When Does Machine Learning Reliably Detect HTE? Results from Large Experiments - Donald P. Green, Columbia University; Jiawei Fu, Duke University; Unregistered Participant