Statistical analysis of current status data with informative observation times

被引:56
作者
Zhang, ZG
Sun, JG
Sun, LQ
机构
[1] Univ Missouri, Dept Stat, Columbia, MO 65211 USA
[2] Oklahoma State Univ, Dept Stat, Stillwater, OK 74078 USA
[3] Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
关键词
additive hazards model; current status data; informative censoring; regression analysis;
D O I
10.1002/sim.2001
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Current status data arise when each study subject is observed only once and the survival time of interest is known only to be either less or greater than the observation time. Such data often occur in, for ex ample, cross-sectional studies, demographical investigations and tumorigenicity experiments and several semi-parametric and non-parametric methods for their analysis have been proposed. However, most of these methods deal only with the situation where observation time is independent of the underlying survival time completely or given covariates. This paper discusses regression analysis of current status data when the observation time may be related to the underlying survival time and inference procedures are presented for estimation of regression parameters under the additive hazards regression model. The procedures can be easily implemented and are applied to two motivating examples. Copyright (c) 2004 John Wiley & Sons. Ltd.
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页码:1399 / 1407
页数:9
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