Design, Identification, and Sensitivity Analysis for Patient Preference Trials

DOI10.1080/01621459.2019.1585248zbMath1428.62472OpenAlexW2559836499MaRDI QIDQ5208058

Dean Knox, Matthew A. Baum, Teppei Yamamoto, Adam J. Berinsky

Publication date: 15 January 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/1721.1/132193

zbMATH Keywords

external validitycausal inferencenonparametric boundsrandomized controlled trial

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05)

Cites Work

• 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]
• Principal Stratification in Causal Inference
• Causal Inference in Hybrid Intervention Trials Involving Treatment Choice
• Bounds on Treatment Effects From Studies With Imperfect Compliance
• Assessing the effect of an influenza vaccine in an encouragement design
• Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
• Observational studies.

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