An Approach for Estimating Causal Effects in Randomized Trials with Noncompliance

DOI10.1080/03610920903003452zbMath1318.62320OpenAlexW1966141682MaRDI QIDQ3585306

Yasutaka Chiba

Publication date: 19 August 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920903003452

zbMATH Keywords

instrumental variablecausal inferencepotential outcome

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

Related Items (1)

Bounds on the complier average causal effect in randomized trials with noncompliance

Cites Work

• Correcting for non-compliance in randomized trials using rank preserving structural failure time models
• Bayesian inference for causal effects: The role of randomization
• Association, causation, and marginal structural models.
• Identification of Causal Effects Using Instrumental Variables
• Adjusting for Differential Rates of Prophylaxis Therapy for PCP in High-Versus Low-Dose AZT Treatment Arms in an AIDS Randomized Trial
• Sensitivity Analysis of Unmeasured Confounding for the Causal Risk Ratio by Applying Marginal Structural Models
• Stratified Analysis in Randomized Trials with Noncompliance

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