Estimating the average treatment effect in randomized clinical trials with all-or-none compliance

DOI10.1214/22-AOAS1627OpenAlexW4320169880MaRDI QIDQ2686032

Zhiwei Zhang, Lei Nie, Zonghui Hu, Dean A. Follmann

Publication date: 24 February 2023

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/22-aoas1627

zbMATH Keywords

noncomplianceinstrumental variableprincipal stratificationeffect modificationunmeasured confoundingcomplier-average treatment effect

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Doubly Robust Estimation in Missing Data and Causal Inference Models
• Principal Stratification in Causal Inference
• Identification of Causal Effects Using Instrumental Variables
• On the Effect of Treatment among Would-Be Treatment Compliers: An Analysis of the Multiple Risk Factor Intervention Trial
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Correcting for non-compliance in randomized trials using structural nested mean models
• Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables
• Estimation of local treatment effects under the binary instrumental variable model
• Doubly Robust Estimation of the Local Average Treatment Effect Curve

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