| Literature DB >> 17608788 |
Abstract
Case-cohort design has been advocated in many epidemiologic studies when studying rare diseases or events. In this design, with a rare event, all the events are selected for risk-factor assessment. When the event is not rare, it is desirable to consider a generalized case-cohort design, where only a fraction of events are sampled. We provide a valid test statistic to compare hazards functions between two samples for this generalized design and give a method for calculating power. Our result generalizes the result in Cai and Zeng (2004, Biometrics60, 1015-1024), and it shows numerically that efficiency loss due to sampling only part of the events is very low under nonrare-events situation.Entities:
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Year: 2007 PMID: 17608788 DOI: 10.1111/j.1541-0420.2007.00838.x
Source DB: PubMed Journal: Biometrics ISSN: 0006-341X Impact factor: 2.571