Causal graphs: addressing the confounding problem without instruments or ignorability

DOI10.1214/14-STS488zbMath1331.62483arXiv1410.0473MaRDI QIDQ252720

Ilya Shpitser

Publication date: 4 March 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1410.0473

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) General nonlinear regression (62J02) Statistical methods; economic indices and measures (91B82)

Related Items (1)

Improving confidence set estimation when parameters are weakly identified

Uses Software

• TETRAD

Cites Work

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• Identification, inference and sensitivity analysis for causal mediation effects
• Causation, prediction, and search
• On the definition of a confounder
• The central role of the propensity score in observational studies for causal effects
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• A Generalization of Sampling Without Replacement From a Finite Universe

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