| Literature DB >> 15565735 |
Zhigang Zhang1, Jianguo Sun, Liuquan Sun.
Abstract
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.Mesh:
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Year: 2005 PMID: 15565735 DOI: 10.1002/sim.2001
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373