Rank Estimation of Treatment Differences Based on Repeated Measurements Subject to Dependent Censoring
作者:
D.V. Glidden,
L.J. Wei,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1999)
卷期:
Volume 94,
issue 447
页码: 888-895
ISSN:0162-1459
年代: 1999
DOI:10.1080/01621459.1999.10474194
出版商: Taylor & Francis Group
关键词: Cumulative hazard function;Estimating function;Informative censoring;Longitudinal data;Resampling method;Wilcoxon statistic
数据来源: Taylor
摘要:
In comparing the effectiveness of two treatments, suppose that for each patient repeated measurements of an outcome variable are taken at prespecified time points, but some observations may be missing due to the patient's dependent right censoring. In this article, a simple rank estimation procedure, constructed based on an artificial censoring technique, is proposed for the treatment differences over time without imposing a parametric structure on the dependence between the outcome measures and the censoring variable. Our method can be easily implemented and is illustrated by a dataset from an AIDS clinical trial.
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