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Donald Rubin

1 the University of Chicago the Harris School of Public
Donald Rubin Three-Day Course in Causality 5 to 7 February 2020 At
Theory with Applications to Voting and Deliberation Experiments!
Arxiv:1805.08845V4 [Stat.ML] 10 Jul 2021 Outcomes Such As Images, Sequences, and Graphs
The Neyman-Rubin Model of Causal Inference and Estimation Via Matching Methods∗
To Adjust Or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias
1 the University of Chicago the Harris School of Public
Causality Causality Refers to the Relationship
Donald Rubin∗ Andrew Gelman† 3 Oct 2017
ASA 1999 JSM Teaching Causal Inference Dr. Donald Rubin in Experiments and Observational Studies
^^.^-3 Causal Diagrams for Empirical Research C^-J-H Di^^I^)
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics∗
Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives an Essential Journey with Donald Rubin’S Statistical Family
Observational Studies”: Looking Backward and Looking Forward
Predictive Model Interpretation Via Causal Attribution
Curriculum Vitae Andrew Gelman
Curriculum Vitae October 2014 DONALD B. RUBIN University John
Sophie Langenskiold AKADEMISK AVHANDLING

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Causality: Rubin (1974)
The State of Applied Econometrics
Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects∗
1 Ten Statisticians and Their Impacts Daniel B. Wright Ten Statisticians
Curriculum Vitae August 2017 DONALD
Causal Inference
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics Arxiv:1907.0
Inferring Causality Through Counterfactuals in Observational Studies Some Epistemological Issues

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