Sensitivity of estimands in clinical trials with imperfect compliance

DOI10.1515/ijb-2022-0105MaRDI QIDQ6590274

Daniel F. Heitjan, Heng Chen

Publication date: 21 August 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

sensitivitynoncompliancerandomizationintention-to-treatcomplier average causal 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
• Principal Stratification in Causal Inference
• Identification and Estimation of Local Average Treatment Effects
• Bounds on Treatment Effects From Studies With Imperfect Compliance
• Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables
• Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes
• A Bayesian hierarchical model estimating CACE in meta‐analysis of randomized clinical trials with noncompliance
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Principal Stratification Analysis Using Principal Scores
• A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section

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