Inference for the Effect of Treatment on Survival Probability in Randomized Trials with Noncompliance and Administrative Censoring

DOI10.1111/J.1541-0420.2011.01575.XzbMath1274.62848OpenAlexW2119426123WikidataQ44325871 ScholiaQ44325871MaRDI QIDQ2893398

Jing Cheng, Hui Nie, Dylan S. Small

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01575.x

zbMATH Keywords

noncomplianceinstrumental variablesurvival probabilityempirical likelihoodadministrative censoringWeibull parametric model

Mathematics Subject Classification ID

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

Related Items (10)

Instrumental variable estimation of complier causal treatment effect with interval‐censored data ⋮ Estimation of complier causal treatment effects with informatively interval-censored failure time data ⋮ Instrumental Variable Estimation of the Causal Hazard Ratio ⋮ Weighted estimators of the complier average causal effect on restricted mean survival time with observed instrument–outcome confounders ⋮ Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults ⋮ Estimation of complier causal treatment effects under the case–cohort studies with interval-censored failure time data ⋮ Unnamed Item ⋮ Instrumental variable estimation of early treatment effect in randomized screening trials ⋮ The GENIUS approach to robust Mendelian randomization inference ⋮ Sensitivity Analysis of Per-Protocol Time-to-Event Treatment Efficacy in Randomized Clinical Trials

Cites Work

• Correcting for non-compliance in randomized trials using rank preserving structural failure time models
• Bayesian inference for causal effects in randomized experiments with noncompliance
• Bayesian inference for causal effects: The role of randomization
• Semiparametric Estimation and Inference for Distributional and General Treatment Effects
• A Causal Proportional Hazards Estimator for the Effect of Treatment Actually Received in a Randomized Trial with All-or-Nothing Compliance
• Identification of Causal Effects Using Instrumental Variables
• Nonparametric Estimation from Incomplete Observations
• The Bias and Moment Matrix of the General k-Class Estimators of the Parameters in Simultaneous Equations
• Bounds on Causal Effects in Three-Arm Trials With Non-Compliance
• Efficient nonparametric estimation of causal effects in randomized trials with noncompliance
• Identification and Estimation of Local Average Treatment Effects
• On the Effect of Treatment among Would-Be Treatment Compliers: An Analysis of the Multiple Risk Factor Intervention Trial

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