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Analysis of Times to Repeated Events in Two-Arm Randomized Trials with Noncompliance and Dependent Censoring

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This article develops randomization-based methods for times to repeated events in two-arm randomized trials with noncompliance and dependent censoring. Structural accelerated failure time models are assumed to capture causal effects on repeated event times and dependent censoring time, but the dependence structure among repeated event times and dependent censoring time is unspecified. Artificial censoring techniques to accommodate nonrandom noncompliance and dependent censoring are proposed. Estimation of the acceleration parameters are based on rank-based estimating functions. A simulation study is conducted to evaluate the performance of the developed methods. An illustration of the methods using data from an acute myeloid leukemia trial is provided.

Keywords: Artificial censoring technique; Causal inference; Dependent censoring; Noncompliance; Randomized trials; Repeated events

Document Type: Research Article


Affiliations: Department of Pharmacoepidemiology, School of Public Health, Kyoto University, Kyoto 606-8501, Japan, Email:

Publication date: 2004-12-01

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