Suppr超能文献

具有同质分层效应的分层配对二元数据中共同风险差异的估计。

Estimation of the common risk difference in stratified paired binary data with homogeneous stratum effect.

作者信息

Zhao Yan D, Rahardja Dewi

机构信息

Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.

出版信息

J Biopharm Stat. 2013;23(4):848-55. doi: 10.1080/10543406.2013.789888.

Abstract

McNemar's test is commonly used to test for the risk difference between two binary variables on matched pairs. For stratified paired binary data, recently a test for the homogeneous stratum effect (HSE) has been developed. If HSE is rejected, then McNemar's test should be applied by stratum; otherwise, in this article we propose a concept of common risk difference (CRD) across the strata and derive point estimators and confidence intervals for CRD. We use a cancer study for illustration and conduct simulations to recommend point estimators and associated confidence intervals with good statistical properties.

摘要

McNemar检验通常用于检验匹配对中两个二元变量之间的风险差异。对于分层配对二元数据,最近已经开发了一种用于检验同质分层效应(HSE)的检验方法。如果HSE被拒绝,那么应该按层应用McNemar检验;否则,在本文中,我们提出了一个跨层的共同风险差异(CRD)概念,并推导了CRD的点估计和置信区间。我们用一项癌症研究进行说明,并进行模拟,以推荐具有良好统计特性的点估计和相关置信区间。

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