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Statistical analysis of current status data with informative observation times
Author(s) -
Zhang Zhigang,
Sun Jianguo,
Sun Liuquan
Publication year - 2004
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2001
Subject(s) - covariate , regression analysis , proportional hazards model , statistics , inference , regression , parametric statistics , current (fluid) , survival analysis , computer science , statistical inference , econometrics , mathematics , artificial intelligence , electrical engineering , engineering
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 example, 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 © 2004 John Wiley & Sons, Ltd.