Analysis of times to repeated events in two-arm randomized trials with noncompliance and dependent censoring.
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.
Matsui
Shigeyuki
S
Department of Pharmacoepidemiology, School of Public Health, Kyoto University, Kyoto 606-8501, Japan. matsui@pbh.med.kyoto-u.ac.jp
D001699:Biometry; D006801:Humans; D015470:Leukemia, Myeloid, Acute / Q000188:drug therapy; D016173:Macrophage Colony-Stimulating Factor / Q000627:therapeutic use; D015233:Models, Statistical; D009503:Neutropenia / Q000188:drug therapy; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D013997:Time Factors; D016312:Treatment Refusal / Q000706:statistics & numerical data
D016173:Macrophage Colony-Stimulating Factor