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Analysis of Times to Repeated Events in Two‐Arm Randomized Trials with Noncompliance and Dependent Censoring
Author(s) -
Matsui Shigeyuki
Publication year - 2004
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2004.00252.x
Subject(s) - censoring (clinical trials) , accelerated failure time model , statistics , randomized controlled trial , event data , randomization , log rank test , repeated measures design , computer science , survival analysis , medicine , econometrics , mathematics , covariate
Summary 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.