Identification of causal effects using instrumental variables in randomized trials with stochastic compliance

DOI10.1002/bimj.201200104zbMath1441.62484OpenAlexW1479974779WikidataQ34488143 ScholiaQ34488143MaRDI QIDQ4902192

Emil Scosyrev

Publication date: 25 January 2013

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201200104

zbMATH Keywords

causal inferencepotential outcomeslocal average treatment effectdeterministic compliancepopulation average treatment effect

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Bayesian inference for causal effects in randomized experiments with noncompliance
• Comment on J. Neyman and causal inference in experiments and observational studies: On the application of probability theory to agricultural experiments. Essay on principles. Section 9 [Ann. Agric. Sci. 10 (1923), 1--51]
• On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
• On regression adjustments to experimental data
• Likelihood analysis of the binary instrumental variable model
• Identification of Causal Effects Using Instrumental Variables
• Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models
• Stochastic counterfactuals and stochastic sufficient causes
• Bounds on Treatment Effects From Studies With Imperfect Compliance
• Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models
• Causal Inference Without Counterfactuals