Zhao Yan D, Rahardja Dewi
Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
J Biopharm Stat. 2013;23(4):848-55. doi: 10.1080/10543406.2013.789888.
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.
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。
