Suppr超能文献

非罕见事件病例队列研究的功效计算

Power calculation for case-cohort studies with nonrare events.

作者信息

Cai Jianwen, Zeng Donglin

机构信息

Department of Biostatistics, University of North Carolina at Chapel Hill, North Carolina 27599-7420, USA.

出版信息

Biometrics. 2007 Dec;63(4):1288-95. doi: 10.1111/j.1541-0420.2007.00838.x. Epub 2007 Jun 30.

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.

摘要

在研究罕见疾病或事件时,病例队列设计在许多流行病学研究中得到了提倡。在这种设计中,对于罕见事件,所有事件都被选作风险因素评估。当事件并非罕见时,考虑广义病例队列设计是可取的,即仅对一部分事件进行抽样。我们为这种广义设计提供了一个有效的检验统计量,用于比较两个样本之间的风险函数,并给出了一种计算检验功效的方法。我们的结果推广了Cai和Zeng(2004年,《生物统计学》60卷,第1015 - 1024页)的结果,并且通过数值表明,在非罕见事件情况下,仅对部分事件进行抽样所导致的效率损失非常低。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验